This article contains the results of a theoretical analysis of the phenomenon of natural language understanding (NLU), as a methodological problem. The combination of structural-ontological and informational-psychological approaches provided an opportunity to describe the subject matter field of NLU, as a composite function of the mind, which systemically combines the verbal and discursive structural layers. In particular, the idea of NLU is presented, on the one hand, as the relation between the discourse of a (...) specific speech message and the meta-discourse of a language, in turn, activated by the need-motivational factors. On the other hand, it is conceptualized as a process with a specific structure of information metabolism, the study of which implies the necessity to differentiate the affective (emotional) and need-motivational influences on the NLU, as well as to take into account their interaction. At the same time, the hypothesis about the influence of needs on NLU under the scenario similar to the pattern of Yerkes-Dodson is argued. And the theoretical conclusion that emotions fulfill the function of the operator of the structural features of the information metabolism of NLU is substantiated. Thus, depending on the modality of emotions in the process of NLU, it was proposed to distinguish two scenarios for the implementation of information metabolism - reduction and synthetic. The argument in favor of the conclusion about the productive and constitutive role of emotions in the process of NLU is also given. (shrink)

In this article, the results of conceptualization of the definition of mind as an object of interdisciplinary applied research are described. The purpose of the theoretical analysis is to generate a methodological discourse suitable for a functional understanding of the mind in the context of the problem of natural language processing as one of the components of developments in the field of artificial intelligence. The conceptual discourse was realized with the help of the author's method (...) of structural-ontological analysis, and developed in the mainstream of the system-methodological tradition of the school of G.P. Shchedrovitsky and intended for descriptive research of subject areas of interdisciplinary objects of scientific study. As a result of the structural and ontological analysis of the super-system, the relevant place and role of the directly studied system (mind) are determined, and its primary process and material are localized and structural and functional connections are described. At the basic level, the mind is conceptualized as an energy process unfolding in a spatio-temporal environment and accompanied by archetypal structuring of neural impulses into images. The genesis of the system is separately analyzed by constructing a structural-ontological matrix that reflects the initial stage of the development of the mind. The primary process is concretized with the help of hetero- and homeostatic dichotomy, and also the most significant features of the consistent transformation of the material of the system and its ascent to verbal morphology are described. The structural-ontological comparison of the functioning of the verbal intelligence with the preverbal level has been carried out. The transformation of neural impulses of needs into words, as verbal units fixing semiotic values is analyzed. Structural-ontological connections that determine the reactive and prospective characteristics of the functioning of the system are disclosed. The position of the chronological primacy of "semiotic readiness" for language with respect to the debut of the latter as an information-sign model of the environment is argued. The hypothesis of domination at the initial stage of the development of the mind of exopsychic functions over endopsychic ones is formulated. The theoretical substantiation of the hypothesis of the inevitability of the ontology of language in the functional understanding of the mind is given, corresponding structural and ontological arguments are given, including those based on the ideas about the information relationship between affects and needs, according to the views of P.V. Simonov. The arguments are presented in favor of the non-alternative methodology of A. Turing in studies of artificial intelligence. (shrink)

The Relationship Between Language, Mathematics, Information, Knowledge, and New Discoveries in Understanding the Nature of Consciousness -/- Introduction -/- The nature of consciousness has long been a subject of philosophical and scientific inquiry. As human intelligence evolved, the invention of language, mathematics, and information systems became fundamental tools in shaping how we perceive and understand reality. These intellectual advancements not only reflect consciousness but also influence its development. By examining the interplay between language, mathematics, (...) class='Hi'>information, knowledge, and new discoveries, we can gain deeper insight into how consciousness emerges, evolves, and expands. -/- Language: The Foundation of Conscious Thought -/- Language is the primary medium through which consciousness expresses itself. It allows individuals to articulate thoughts, share experiences, and construct complex ideas. Without language, higher-order thinking and self-reflection would be severely limited. -/- 1. Language and Self-Awareness – Internal dialogue, or the “voice in our head,” is a critical component of consciousness. It enables introspection, planning, and the ability to reflect on past experiences. -/- 2. Language and Social Consciousness – Through shared language, individuals contribute to collective intelligence. Cultural knowledge, traditions, and ideologies are preserved and transmitted across generations. -/- 3. Language and Abstract Thinking – Words enable humans to discuss non-physical concepts such as justice, morality, and the nature of existence, expanding the boundaries of conscious thought. -/- As language evolves, so does consciousness, leading to new ways of perceiving and interpreting reality. -/- Mathematics: The Language of Patterns and Conscious Awareness -/- Mathematics is often described as a universal language that reveals the underlying order of the universe. It provides structure to human cognition and enhances our ability to predict, measure, and manipulate reality. -/- 1. Mathematics and Logical Thought – Mathematical reasoning mirrors the logical structures of conscious thought. It allows for problem-solving, abstraction, and deductive reasoning. -/- 2. Mathematics and Scientific Discovery – From physics to neuroscience, mathematical models describe the fundamental principles governing existence, furthering our understanding of consciousness itself. -/- 3. Mathematics and Artificial Intelligence – The development of AI and machine learning relies on mathematical principles, raising questions about whether artificial systems can achieve a form of consciousness. -/- If consciousness operates under universal laws, mathematics may be the key to deciphering its principles. -/- Information and Knowledge: The Evolution of Consciousness -/- Information is the raw material from which knowledge is constructed. The accumulation, processing, and application of information drive the expansion of consciousness. -/- 1. Memory and Learning – The ability to store and recall information enhances cognitive abilities, shaping an individual’s awareness of the world. -/- 2. Collective Intelligence – The sharing of information across societies leads to cultural evolution, technological advancements, and the refinement of knowledge. -/- 3. External Storage of Consciousness – Books, digital databases, and AI systems act as extensions of human consciousness, preserving and expanding knowledge beyond biological limitations. -/- The more information consciousness can process, the more it expands its awareness and potential for discovery. -/- New Discoveries: The Feedback Loop of Expanding Consciousness -/- Scientific and philosophical discoveries continuously reshape how consciousness understands itself and the universe. Each breakthrough: -/- 1. Expands Perception – Tools like microscopes and telescopes extend human awareness beyond natural sensory limitations. -/- 2. Challenges Established Beliefs – Paradigm shifts force consciousness to adapt to new realities, redefining truth and understanding. -/- 3. Integrates Technology and Consciousness – Advancements in neuroscience, quantum mechanics, and artificial intelligence suggest that consciousness may be an emergent phenomenon shaped by computational and environmental factors. -/- The cycle of discovery feeds back into language, mathematics, and knowledge, leading to new levels of understanding and further expanding consciousness. -/- Conclusion: Consciousness as a Self-Perpetuating System -/- The relationship between language, mathematics, information, knowledge, and discovery forms a self-reinforcing loop that drives the evolution of consciousness. Each component influences and strengthens the others, creating a dynamic system of intellectual and cognitive growth. -/- Language provides structure for thought and communication. -/- Mathematics reveals underlying patterns of reality and enhances logical reasoning. -/- Information and knowledge serve as the building blocks of learning and awareness. -/- New discoveries expand the limits of consciousness, redefining human potential. -/- If consciousness operates under natural laws, this interconnected system may represent the fundamental process by which awareness evolves. The more humanity advances in these areas, the more profound our understanding of consciousness—and reality itself—becomes. -/- . (shrink)

This paper argues that to negate the ontological difference between the natural and the artificial, is not plausible; nor is the reduction of the natural to the artificial or vice versa possible. Except if one intends to empty the semantic content of the terms and notions: “natural” and “artificial.” Most philosophical discussions on Artificial Intelligence (AI) have always been in relation to the human person, especially as it relates to human intelligence, consciousness and/or (...) mind in general. This paper, intends to broaden the conversation, by discussing AI in relation to the notions of “nature” and the “artificial.” This intention is to more critically understand the artificiality in and of artificial intelligence. To achieve this, the notion of “nature” in Aristotle’s Philosophy of Nature, has been employed as an epistemological tool in interrogating the notion of the artificial and the objectives of the science and technology of Artificial Intelligence. (shrink)

The famous advaitic expressions -/- Brahma sat jagat mithya jivo brahma eva na apraha and Asti bhaati priyam namam roopamcheti amsa panchakam AAdya trayam brahma roopam tato dwayam jagat roopam -/- will be analyzed through physics and electronics and interpreted. -/- Four phases of mind, four modes of language acquisition and communication and seven cognitive states of mind participating in human cognitive and language acquisition and communication processes will be identified and discussed. -/- Implications and application (...) of such an identification and analysis to the fields of cognitive sciences, mind-machine modeling, natural language comprehension field of artificial intelligence and physiological psychology will be hinted. A comprehensive modern scientific understanding of human consciousness, mind and mental functions will be presented. (shrink)

-/- Intelligence, Balance, and the Laws of Nature: A Universal Connection -/- Introduction -/- The human mind has an extraordinary ability: it can understand the laws of nature, even though it is itself made of atoms and governed by these same laws. This raises a profound question: How can intelligence—whether human, artificial, or even extraterrestrial—grasp the very principles that shape the universe? The answer may lie in the fundamental nature of balance, a principle that underlies both intelligence and (...) the structure of reality. By examining the relationship between intelligence, balance, and the universal laws of nature, we can explore whether understanding is an inevitable outcome of how the universe operates. This perspective also aligns with the idea that human decision-making must follow natural laws, as suggested by Angelito Malicse’s universal formula for solving the problem of free will. -/- Intelligence as an Extension of Natural Laws -/- The first step in understanding intelligence is recognizing that it does not exist outside of nature but rather emerges from it. Just as the physical universe follows patterns—such as gravity, thermodynamics, and atomic interactions—so too does intelligence arise through a process of self-organization. -/- Self-Organization in Nature: Atoms form molecules, molecules form cells, and cells form complex organisms. This natural progression of increasing complexity leads to intelligence, much like galaxies, ecosystems, and weather patterns follow self-organizing principles. -/- The Brain as a Natural System: The human brain is composed of matter, but its function is not just a mechanical process—it is an adaptive system designed to recognize patterns, make predictions, and refine its understanding of reality. -/- Mathematics as a Universal Language: Many scientists have pointed out the “unreasonable effectiveness of mathematics” in describing reality. This suggests that mathematical principles are not human inventions but discoveries—patterns that exist independently in nature and are uncovered by intelligence. -/- If intelligence is simply an expression of natural laws, then the ability to recognize patterns and understand reality is an inevitable result of how the universe itself functions. -/- Balance as the Fundamental Principle of Intelligence -/- A key insight from Malicse’s universal formula is that decision-making must align with the natural law of balance. This idea applies not only to individual choices but also to the way intelligence operates at all levels. -/- Cognitive Balance: Human intelligence thrives when there is a balance between stability and change. Too much rigidity (dogma, closed-mindedness) leads to stagnation, while too much uncertainty (lack of foundational truths) leads to chaos. Intelligence must constantly balance existing knowledge with new discoveries in order to function effectively. -/- Societal Balance: Societies, like individual minds, must find a balance between order (structure, rules, and traditions) and progress (innovation, questioning, and adaptation). When societies fail to achieve this balance—whether through unregulated growth, misinformation, or rigid ideologies—they become unstable. -/- Scientific Progress as a Balance Mechanism: The scientific method itself is a process of maintaining balance between evidence and theory. As we gain more information, we refine our understanding of natural laws, continuously adjusting our models of reality. -/- If intelligence inherently follows balance, then the process of gaining knowledge is itself governed by a universal law of equilibrium. This connects directly to the idea that decisions must align with natural laws to prevent imbalance, which is central to Malicse’s universal formula. -/- The Laws of Nature as a Form of Universal Intelligence -/- If intelligence naturally emerges from balance, then it is possible that the laws of nature themselves represent a form of intelligence—not in a conscious, human-like sense, but as the underlying logic that structures reality. -/- The Universe as an Information System: Some physicists suggest that the universe functions like a vast information-processing system, where fundamental laws act as rules that govern how matter and energy behave. This aligns with the idea that knowledge is not “created” but rather “discovered” as intelligent beings uncover the rules that already exist. -/- Intelligence as the Universe Understanding Itself: If all intelligent beings (humans, AI, or extraterrestrials) follow the same fundamental laws of balance and logic, then intelligence might be a way for the universe to “self-reflect.” This means that understanding reality is not separate from nature but an essential part of its ongoing evolution. -/- The Connection to AI and Extraterrestrial Knowledge: If artificial intelligence or extraterrestrial civilizations exist, they too would likely discover the same fundamental truths, because these laws are universal. This suggests that intelligence is not an accident but a natural consequence of how the universe operates. -/- This perspective reinforces Malicse’s view that human decisions must align with natural laws to avoid imbalance—because intelligence itself is simply another expression of these laws. -/- Conclusion: Intelligence, Balance, and the Universal Formula -/- The ability to understand the universe is not a mystery if we recognize that intelligence is a product of nature itself. The same laws that govern the cosmos also govern the mind, and the process of discovering knowledge is a reflection of the natural balance found in all systems. -/- This idea strongly aligns with Angelito Malicse’s universal formula, which states that human decision-making must follow the natural law of balance to function properly. Just as an imbalanced mind leads to misunderstanding, and an imbalanced society leads to dysfunction, an imbalance in decision-making leads to human and societal problems. -/- If intelligence is a way for the universe to become aware of itself, then the responsibility of humanity is clear: we must align our knowledge, actions, and societies with the fundamental principles of balance that govern all things. By doing so, we not only advance scientifically and technologically but also ensure a sustainable and harmonious future. -/- Final Thought -/- If extraterrestrial intelligence exists, they may have already reached this understanding. Whether through direct knowledge transfer (as some speculate) or through independent discovery, any advanced intelligence—whether human, alien, or artificial—must ultimately align with the universal law of balance. This means that the search for truth is not just a scientific endeavor but a fundamental part of the structure of reality itself. -/- . 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Four modes of language acquisition and communication are presented translating ancient Indian expressions on human consciousness, mind, their form, structure and function clubbing with the Sabdabrahma theory of language acquisition and communication. The modern scientific understanding of such an insight is discussed. . A flowchart of language processing in humans will be given. A gross model of human language acquisition, comprehension and communication process forming the basis to develop software for relevantmind-machine modeling will be presented. (...) The implications of such a model to artificial intelligence and cognitive sciences will be discussed. The essential nature and necessity of a physics, communication engineering , biophysical and biochemical insight as both complementary and supplementary to using mathematical and computational methods in delineating the theory of language processing in humans is put forward. (shrink)

Objective. Conceptualization of the definition of space as a semantic unit of language consciousness. -/- Materials & Methods. A structural-ontological approach is used in the work, the methodology of which has been tested and applied in order to analyze the subject matter area of psychology, psycholinguistics and other social sciences, as well as in interdisciplinary studies of complex systems. Mathematical representations of space as a set of parallel series of events (Alexandrov) were used as the initial theoretical basis (...) of the structural-ontological analysis. In this case, understanding of an event was considered in the context of the definition adopted in computer science – a change in the object properties registered by the observer. -/- Results. The negative nature of space realizes itself in the subject-object structure, the components interaction of which is characterized by a change – a key property of the system under study. Observer’s registration of changes is accompanied by spatial focusing (situational concretization of the field of changes) and relating of its results with the field of potentially distinguishable changes (subjective knowledge about «changing world»). The indicated correlation performs the function of space identification in terms of recognizing its properties and their subjective significance, depending on the features of the observer`s motivational sphere. As a result, the correction of the actual affective dynamics of the observer is carried out, which structures the current perception of space according to principle of the semantic fractal. Fractalization is a formation of such a subjective perception of space, which supposes the establishment of semantic accordance between the situational field of changes, on the one hand, and the worldview, as well as the motivational characteristics of the observer, on the other. -/- Conclusions. Performed structural-ontological analysis of the system formed by the interaction of the perceptual function of the psyche and the semantic field of the language made it possible to conceptualize the space as a field of changes potentially distinguishable by the observer, structurally organized according to the principle of the semantic fractal. The compositional features of the fractalization process consist in fact that the semantic fractal of space is relevant to the product of the difference between the situational field of changes and the field of potentially distinguishable changes, adjusted by the current configuration of the observer`s value-needs hierarchy and reduced by his actual affective dynamics. (shrink)

The concept of fields available in physics will be considered for application to unravel the mysteries of form, structure and function of human consciousness and mind. The sameness of functions of human consciousness and mind in language acquisition and communication and also acquiring knowledge of various kinds and its will be discussed. In the light of this the limitations of concepts of pure physics and modern physics probes will be discussed. -/- The information and ideas available (...) in the Upanishads in the form of Brahmajnaana will be applied to understand the physical nature of human consciousness and mind and their functions. This information and translation into modern and cognitive scientific terms would be correlated with brainwaves concept of modern physiology. The physiochemical, physical and chemical natures of experiences, purport, meanings, ideas, thoughts and expressions will be presented based on Upanishadic insight thus acquired. The advantage of this alternative probe, method and model to understand the functions of human consciousness and mind will be demonstrated. -/- This model of human consciousness and mental functions is also correlated to brain wave EEG frequency changes. -/- . (shrink)

Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann (...) Leckie, Iain M. Banks, and Martha Wells, alongside key visual productions such as Ex Machina, Westworld, and Her, contributions illustrate how science fiction might inform potential futures as well as acting as a springboard to bring disciplinary knowledge to bear on significant developments of Artificial Intelligence. Addressing a broad, interdisciplinary audience, both expert and non-expert readers gain an in-depth understanding of the wide range of pressing issues to which Artificial Intelligence gives rise, and the ways in which science fiction narratives have been used to represent them. Using science fiction in this manner enables readers to see how even fictional worlds and imagined futures have very real impacts on how we understand these technologies. As such, readers are introduced to theoretical positions on Artificial Intelligence through fictional works as well as encouraged to reflect on the diverse aspects of Artificial Intelligence through its many philosophical, social, legal, scientific, and cultural ramifications. (shrink)

-/- Explaining Consciousness and the Mind-Body Problem Through the Universal Law of Balance -/- Introduction -/- The nature of consciousness and its relationship with the body has been one of the greatest mysteries in philosophy and science. The mind-body problem questions how subjective experience (mind) arises from physical matter (body), while modern neuroscience, quantum mechanics, and artificial intelligence seek to understand the origins of conscious thought. -/- Angelito Malicse’s universal formula, rooted in the universal law of (...) balance in nature, provides a powerful framework for understanding consciousness as an emergent property of equilibrium. If all human decision-making follows natural laws, then consciousness itself—both individual and collective—must also follow the same principles of balance. This essay explores how this perspective can unify philosophical theories, be tested scientifically, and guide the development of artificial intelligence. -/- The Mind-Body Problem and the Universal Formula -/- Historically, the mind-body problem has been debated through dualism, materialism, and panpsychism. -/- 1. Dualism, proposed by René Descartes, suggests that the mind and body are separate substances. However, if consciousness emerges from a balance of biological, cognitive, and environmental factors, then mind and body are not separate but rather two interdependent systems working in harmony. -/- 2. Materialism, the view that consciousness is purely a result of physical processes in the brain, can also be explained through the universal formula. If the brain maintains a homeostatic equilibrium of neural activity, then conscious thought can be seen as a function of maintaining that balance. -/- 3. Panpsychism, the idea that consciousness is a fundamental property of the universe, aligns with the universal formula if all systems—atomic, biological, and cognitive—follow the same balancing principles. -/- Thus, the universal law of balance in nature can unify these perspectives by suggesting that consciousness is a product of equilibrium across multiple levels of reality. -/- Testing the Universal Formula in Neuroscience -/- If consciousness emerges from a balance between the brain, body, and environment, then this should be observable in biological experiments. -/- Brain-Body Synchronization -/- Neuroscientists have found that consciousness is deeply linked to bodily processes such as heartbeat rhythms, breathing patterns, and gut microbiome activity. When these systems are in balance, cognitive clarity and emotional stability increase. Disruptions—such as stress, disease, or neurological disorders—cause imbalances that affect perception and decision-making. -/- Scientific Test: Using fMRI and EEG, researchers can measure how homeostasis in the body correlates with stable brain activity and conscious awareness. If maintaining balance improves cognition, this supports the universal formula’s application to consciousness. -/- Feedback Loops in Decision-Making -/- Cognitive science shows that human thought follows a feedback mechanism—our brain constantly adjusts decisions based on past experiences and environmental input. If the universal formula is correct, then consciousness itself is a continuous process of maintaining equilibrium in decision-making. -/- Scientific Test: Experiments with brain-machine interfaces (BMIs) could simulate disruptions in decision-making balance and measure how the mind adapts. -/- Quantum Mechanics and Consciousness -/- Some scientists propose that consciousness operates at the quantum level, where thought processes may resemble wave superpositions and collapses. -/- Quantum Decision Theory -/- The human brain does not always process information in a straightforward way; rather, it often considers multiple possibilities before reaching a conclusion. This mirrors quantum physics, where particles exist in superposition until they interact with an observer. If consciousness follows the universal law of balance, then the brain may hold multiple mental states in balance before making a final decision. -/- Scientific Test: Studies in quantum cognition compare human decision-making with quantum probability models. If human thought aligns with quantum systems, it suggests that mental balance follows the same natural laws as physical balance in the universe. -/- Microtubule Consciousness Hypothesis -/- Some researchers, such as Roger Penrose and Stuart Hameroff, suggest that tiny structures within neurons (microtubules) generate consciousness through quantum coherence. If consciousness is a process of balance, then maintaining coherence within these structures might regulate awareness. -/- Scientific Test: If external stimuli can enhance or disrupt microtubule coherence, then altering quantum balance should affect conscious states. -/- Artificial Intelligence and the Simulation of Conscious Balance -/- If the universal formula is truly fundamental to consciousness, then AI systems that mimic this balance should develop self-regulating awareness. -/- AI Homeostasis and Adaptive Learning -/- Unlike traditional AI, which follows strict programming, an AI system designed to maintain balance between inputs, processing, and decision-making could behave in a way similar to biological consciousness. This would involve: -/- Self-regulating feedback loops that adjust based on new information. -/- Adaptive responses to environmental changes, like a human mind maintaining homeostasis. -/- Pattern recognition based on equilibrium, where the AI finds optimal solutions by balancing multiple factors. -/- Scientific Test: Developing AI models that learn through balance, rather than rigid programming, could demonstrate whether consciousness emerges from self-regulating equilibrium. -/- Conclusion: A New Understanding of Consciousness -/- The universal law of balance in nature provides a unifying framework for explaining consciousness, bridging philosophy, neuroscience, quantum mechanics, and artificial intelligence. If all decision-making follows natural balance, then consciousness itself is not an isolated phenomenon but a result of maintaining equilibrium across multiple dimensions—biological, cognitive, and universal. -/- By testing this theory scientifically—through brain-body synchronization, quantum cognition, and AI balance modeling—we may uncover the fundamental principles governing human awareness. This could lead to breakthroughs in mental health, decision science, and artificial intelligence, transforming how we understand both human and machine intelligence. -/- Thus, Angelito Malicse’s universal formula may hold the key to one of the greatest mysteries of existence: the true nature of consciousness itself. -/- . (shrink)

We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering (...) and representing new kinds of situations and thematic roles, (e.g., roles such as agent, patient and instrument), based on new compositions of existing representations. We applied our prototype in an intelligence analysis use case to test the hypothesis that a framework of this sort can produce usefully structured information from combined natural language and sensor data inputs. We further tested our hypothesis by adding an enhanced US Air Force ontology framework to our ODIS in order to (1) process a collection of sensor data, intel reports, and mission plans; (2) build composite POR representations from these data; and (3) machine analyze the fused results to infer mission threats. (shrink)

The Continuous Evolution of Consciousness, Language, and Meaning in Understanding the Universe -/- Introduction -/- The evolution of human consciousness is intricately linked to language and meaning. As human understanding of the universe deepens, so does the complexity and precision of the words and concepts we use to describe reality. This continuous progression is not merely a passive adaptation but an active feedback loop where consciousness shapes language, and language, in turn, refines consciousness. If human decision-making (...) follows the universal law of balance in nature, as proposed in the universal formula, then the evolution of language must also align with this fundamental principle. This essay explores how language and meaning evolve alongside human consciousness and how this evolution is essential for a deeper understanding of the universe. -/- Language as a Tool for Expanding Consciousness -/- Language is the primary medium through which human consciousness externalizes itself. In early human societies, simple symbols and spoken words sufficed to convey basic needs and experiences. However, as humanity’s knowledge expanded, so did the complexity of language. The emergence of written language allowed for the preservation and transmission of ideas across generations, accelerating intellectual and scientific progress. -/- Philosophy, mathematics, and science have continuously pushed the boundaries of language, creating new terminologies and refining meanings. For example, the term atom originally meant “indivisible,” but modern physics has redefined it as a complex structure of subatomic particles governed by quantum laws. Similarly, the concept of energy has evolved from mystical interpretations to a precise scientific principle described in physics and engineering. This evolution demonstrates how language adapts to new discoveries, allowing consciousness to grasp increasingly complex aspects of reality. -/- Meaning as a Dynamic and Evolving Process -/- The meaning of words and concepts is not static but changes in response to human progress. As new knowledge emerges, language adjusts to integrate new understandings while discarding outdated or misleading notions. This dynamism ensures that human communication remains relevant and effective in expressing new realities. -/- For instance, the word intelligence once referred primarily to human cognitive ability, but with the rise of artificial intelligence (AI), it now encompasses machine learning, neural networks, and even artificial general intelligence (AGI). The meaning of life itself has expanded beyond biological definitions to include synthetic life, digital consciousness, and philosophical inquiries about existence in a cosmic context. -/- In this sense, the evolution of language and meaning is a necessary process for humanity’s continuous effort to understand the universe. Without this evolution, human knowledge would be constrained by outdated linguistic structures, preventing the exploration of new dimensions of reality. -/- The Feedback Loop Between Consciousness and the Universe -/- Human consciousness does not merely receive information from the universe—it actively engages with it, interprets it, and reshapes its understanding based on new discoveries. This feedback loop ensures that as our knowledge of the universe expands, so does our ability to describe and conceptualize it. -/- For example, scientific breakthroughs in quantum mechanics, relativity, and cosmology have necessitated entirely new ways of thinking and speaking about time, space, and matter. Without the linguistic evolution that accompanied these discoveries, humans would struggle to grasp the fundamental principles governing the universe. -/- This feedback mechanism also applies to societal and ethical progress. As human understanding of justice, equality, and sustainability evolves, so does the language used to express these ideals. Concepts such as “human rights” and “environmental balance” have gained deeper meaning over time, influencing policies, laws, and cultural attitudes worldwide. -/- The Role of AI and AGI in the Evolution of Language and Meaning -/- Artificial intelligence and artificial general intelligence (AGI) have the potential to accelerate the evolution of language and meaning. AI can process vast amounts of information, identify patterns, and refine linguistic structures beyond human capability. This ability could lead to the emergence of more precise, efficient, and universally understandable ways of expressing complex ideas. -/- For example, AI-driven natural language processing can analyze and refine scientific literature, eliminating ambiguity and enhancing clarity. Future AGI systems could generate entirely new linguistic frameworks for describing reality, potentially bridging gaps between different human languages and even creating new conceptual categories that surpass human cognitive limitations. -/- However, the integration of AI into language evolution must adhere to the universal law of balance in nature. If AI-generated language lacks ethical considerations or diverges too far from human cognitive frameworks, it could create confusion, misinformation, or even manipulation. Ensuring that AI aligns with natural laws and human well-being is crucial in guiding this linguistic evolution. -/- The Universal Law of Balance in Nature and the Future of Language Evolution -/- If human decision-making follows the universal law of balance in nature, then the evolution of consciousness, language, and meaning must also adhere to this principle. An unbalanced progression—where language evolves too rapidly for general understanding or remains stagnant despite new discoveries—could lead to societal and intellectual dissonance. -/- For this reason, structured education plays a vital role in ensuring that language evolves in harmony with human understanding. By integrating the universal formula into foundational education, students can develop a linguistic and cognitive framework that naturally aligns with the principles of natural balance. This structured approach would prevent conceptual chaos while allowing necessary paradigm shifts to occur. -/- Similarly, philosophy and science must continuously refine language to ensure clarity and precision in expressing complex ideas. Misinterpretations and linguistic ambiguities can lead to misunderstandings in critical areas such as law, ethics, and scientific research. By consciously guiding linguistic evolution, humanity can ensure that language remains an effective tool for expanding consciousness. -/- Conclusion -/- The continuous evolution of consciousness, language, and meaning is an essential process in humanity’s effort to understand the universe. Language is not merely a passive reflection of reality but an active force that shapes human thought, decision-making, and interaction with the world. As human knowledge expands, language must evolve to accurately express new understandings while maintaining balance and clarity. -/- Artificial intelligence and AGI will play a significant role in accelerating linguistic evolution, but this process must align with the universal law of balance in nature to ensure ethical and intellectual integrity. By integrating the principles of natural balance into education, philosophy, and AI development, humanity can guide language evolution in a way that enhances understanding rather than creating confusion. -/- Ultimately, the evolution of language and meaning is not just a linguistic phenomenon—it is a fundamental aspect of human progress. As consciousness expands, so too must our ability to articulate and conceptualize reality. By ensuring that this process remains aligned with the natural laws governing decision-making, humanity can achieve a deeper, more holistic understanding of the universe and its place within it. -/- . (shrink)

America and the world are in the process of collapse from excessive population growth, most of it for the last century and now all of it due to 3rd world people. Consumption of resources and the addition of one or two billion more ca. 2100 will collapse industrial civilization and bring about starvation, disease, violence and war on a staggering scale. Billions will die and nuclear war is all but certain. In America this is being hugely accelerated by massive immigration (...) and immigrant reproduction, combined with abuses made possible by democracy. Depraved human nature inexorably turns the dream of democracy and diversity into a nightmare of crime and poverty. The root cause of collapse is the inability of our innate psychology to adapt to the modern world, which leads people to treat unrelated persons as though they had common interests. This, plus ignorance of basic biology and psychology, leads to the social engineering delusions of the partially educated who control democratic societies. Few understand that if you help one person you harm someone else—there is no free lunch and every single item anyone consumes destroys the earth beyond repair. Consequently, social policies everywhere are unsustainable and one by one all societies without stringent controls on selfishness will collapse into anarchy or dictatorship. Without dramatic and immediate changes, there is no hope for preventing the collapse of America, or any country that follows a democratic system. Hence my essay “Suicide by Democracy”. It is also now clear that the seven sociopaths who rule China are winning world war 3, and so my concluding essay on them. The only greater threat is Artificial Intelligence which I comment on briefly. The key to everything about us is biology, and it is obliviousness to it that leads millions of smart educated people like Obama, Chomsky, Clinton, the Democratic Party and the Pope to espouse suicidal utopian ideals that inexorably lead straight to Hell on Earth. As W noted, it is what is always before our eyes that is the hardest to see. We live in the world of conscious deliberative linguistic System 2, but it is unconscious, automatic reflexive System 1 that rules. This is the source of the universal blindness described by Searle’s The Phenomenological Illusion (TPI), Pinker’s Blank Slate and Tooby and Cosmides’ Standard Social Science Model. The first group of articles attempt to give some insight into how we behave that is reasonably free of theoretical delusions. In the next three groups I comment on three of the principal delusions preventing a sustainable world— technology, religion and politics (cooperative groups). People believe that society can be saved by them, so I provide some suggestions in the rest of the book as to why this is unlikely via short articles and reviews of recent books by well-known writers. Another section describes the religious delusion – that there is some super power that will save us. The next section describes the digital delusions, which confuse the language games of System 2 with the automatisms of System one, and so cannot distinguish biological machines (i.e., people) from other kinds of machines (i.e., computers). Other digital delusions are that we will be saved from the pure evil (selfishness) of System 1 by computers/AI/robotics/nanotech/genetic engineering created by System 2. The No Free Lunch principal tells us there will be serious and possibly fatal consequences. The last section describes The One Big Happy Family Delusion, i.e., that we are selected for cooperation with everyone, and that the euphonious ideals of Democracy, Diversity and Equality will lead us into utopia, if we just manage things correctly (the possibility of politics). Again, the No Free Lunch Principle ought to warn us it cannot be true, and we see throughout history and all over the contemporary world, that without strict controls, selfishness and stupidity gain the upper hand and soon destroy any nation that embraces these delusions. In addition, the monkey mind steeply discounts the future, and so we cooperate in selling our descendant’s heritage for temporary comforts, greatly exacerbating the problems. (shrink)

Successful biomedical data mining and information extraction require a complete picture of biological phenomena such as genes, biological processes, and diseases; as these exist on different levels of granularity. To realize this goal, several freely available heterogeneous databases as well as proprietary structured datasets have to be integrated into a single global customizable scheme. We will present a tool to integrate different biological data sources by mapping them to a proprietary biomedical ontology that has been developed for the purposes (...) of making computers understand medical natural language. (shrink)

Why are computers so smart these days? And why are humans apparently still a bit smarter? Does this have something to do with the difference between data and meaning? Does this in turn mean that at least some abstract entities, such as numbers, exist independently of human thought? Wouldn’t that require an expansion of our scientific world view? And would that at all be compatible with what we know about our world from physics and chemistry, philosophy, psychology, neuroscience and the (...) theory of evolution? Finally, what would this tell us about ethical and aesthetic value theories? These and related questions will be discussed in this book. We will find that the difference between data and meaning, i.e. quantitative and qualitative information, does indeed appear to be of central importance for understanding both artificial and natural intelligence. And then the independent existence of abstract entities not only appears to be a particularly promising hypothesis, but also one that is entirely compatible with the sum of our scientific knowledge, especially with regard to value theories. The book thus arrives at the exploration of a scientifically tenable, panpsychistically inspired, objective idealism that can be derived from our most fundamental intuitions as subjects that perceive qualities, but that can also take into account the structuring of the world already at the micro-scale, found in the modern natural sciences. The result is a Platonic, but in a second step also a scientific realism and a naturalism in the sense that it is informed by the natural sciences in terms of an inductive metaphysics. An objective idealism, not in a rationalistic maximum form, but in a pragmatic minimum form; without eternal truths, but dependent on the continued philosophical-scientific and also philosophicalsocial dialog. The proposed model could offer interesting solutions to a number of problems at and near the mind/matter boundary: Proposals are being considered for the interpretation of quantum mechanics, the problem of molecular symmetry, the neuronal code and the binding problem in neuroscience, mental causation, a more holistic understanding of mental processes, and so on and so forth. However, the extent to which the model threatens to promise far too much is also being discussed. In sum, the core question is how we can imagine human thinking beyond physically conceived information processing. An alternative model of human thinking is then put up for discussion, for which not only machine-like cognitive performance, but above all the intentional perception of qualitative information, i.e. of abstract entities, would be central, as well as the free, ultimately creative linking of patterns of quantitative information (signals, data) with such qualities (meanings). (shrink)

The Concept of Human Spirit After Death in a Type III Civilization -/- Introduction -/- The idea of life after death has long been a central concern of philosophy, religion, and science. In today’s world, discussions about the human spirit often remain in the realm of faith and speculation. However, in a Type III civilization—one that has harnessed the energy of an entire galaxy—such questions might no longer be mysterious. With access to advanced technology, deep understanding of consciousness, and mastery (...) over the laws of physics, a Type III civilization could fundamentally transform our understanding of the human spirit after death. Would death still exist in such a civilization, or would it become a choice? Could consciousness continue beyond physical existence? This essay explores how a hyper-advanced society might handle the concept of the human spirit in ways that align with both scientific progress and the universal law of balance in nature. -/- The Scientific Resurrection of Consciousness -/- A Type III civilization would likely possess a complete understanding of consciousness, allowing them to preserve, reconstruct, or even transfer human awareness beyond physical death. If consciousness is a pattern of information, then it could be digitally stored, uploaded, or reinserted into new biological or artificial forms. This would mean that death, as we know it, could be overcome through advanced neuroscience, computation, and physics. -/- For example, through brain scanning and neural mapping, a civilization of this level might extract and preserve an individual’s entire consciousness, including memories, thoughts, and personality. This preserved consciousness could then be placed into a synthetic body, a digital simulation, or even a fully biological clone, allowing individuals to continue their existence indefinitely. This would make the afterlife a technological reality rather than a spiritual mystery. -/- However, if the universal law of balance in nature dictates that all systems must have limits to maintain stability, then a Type III civilization may choose not to completely eliminate death. Instead, they may regulate immortality, ensuring that consciousness does not infinitely persist without purpose. -/- Quantum Consciousness and Energy-Based Spirits -/- Some modern theories, such as quantum consciousness, suggest that the human mind is not simply a product of brain activity but also interacts with quantum fields. If this is true, then a Type III civilization could manipulate these fields, allowing consciousness to exist beyond the body as an energy-based form. -/- In this model, the “spirit” would not be a supernatural entity but a complex quantum state that continues to exist in a higher-dimensional structure of the universe. The civilization could develop methods to interact with and even re-integrate these energy-based consciousnesses into new physical forms or other dimensions of existence. -/- This idea aligns with the principle that all systems must follow natural balance—even if consciousness exists after death, it would not violate the fundamental laws of physics but instead be an integrated part of the universal structure. -/- Multiverse and Simulation Theories: Death as a Transition -/- A Type III civilization might discover that reality itself is a simulation or part of a multiverse. If true, death could be nothing more than a transfer of consciousness to another layer of reality. Rather than an end, death could be a shift to an alternative existence. -/- In this case, the civilization might have the ability to manipulate these transitions, offering individuals the choice of: -/- 1. Returning to a new life in a simulated or real universe -/- 2. Existing as a digital being within an advanced AI system -/- 3. Transcending to a higher-dimensional existence that aligns with natural laws -/- If the universe is a vast, interconnected system, then death could be seen as a necessary cycle that maintains balance, preventing stagnation and allowing renewal at cosmic scales. A Type III civilization might control and regulate these cycles to ensure harmony. -/- Spiritual Evolution and Cosmic Integration -/- Beyond scientific solutions, a Type III civilization may evolve to understand that consciousness naturally integrates with the cosmos after death. If the universal law of balance applies at all levels, then consciousness would follow this principle, transitioning in a way that contributes to the greater equilibrium of the galaxy. -/- Instead of preventing death entirely, such a civilization might develop a controlled process of spiritual evolution, where individuals choose their next phase of existence in alignment with universal balance. This could include: -/- Becoming part of the galactic consciousness, merging with a larger intelligence. -/- Returning to physical existence in another form to maintain equilibrium. -/- Moving into higher-dimensional realities where new experiences unfold. -/- This approach ensures that consciousness does not simply persist indefinitely in a stagnant form but contributes to the evolution of the universe itself. -/- Would a Type III Civilization Eliminate Death? -/- One of the most profound questions is whether a Type III civilization would abolish death entirely. While they could likely eliminate involuntary death, natural balance may still require cycles of renewal and transformation. -/- If death serves a functional role in maintaining cosmic order, then a highly advanced society would respect this law rather than override it. They might create controlled transitions where beings evolve beyond their previous states without disrupting universal harmony. -/- A civilization that aligns with your universal formula—where decision-making follows the natural law of balance—would recognize that immortality without purpose leads to instability. Instead of avoiding death altogether, they might ensure that life, death, and transformation exist as part of a greater cosmic design. -/- Conclusion -/- In a Type III civilization, the concept of the human spirit after death would no longer be a mystery. Whether through scientific resurrection, quantum consciousness, multiversal transitions, or spiritual evolution, such a society would fundamentally reshape how death is experienced. However, if the universal law of balance is truly fundamental, then death might still serve a necessary role in maintaining cosmic equilibrium. Rather than erasing death, a Type III civilization may redefine it as a transition into new forms of existence, ensuring that consciousness remains in harmony with the universe. -/- . (shrink)

1 Introduction1 In the 1980s, hermeneutics was often incorporated into deconstructionism and literary theory. Rather than focus on authorial intentions, the nature of writing itself including codes used to construct meaning, socio-economic contexts and inequalities of power,2 Gadamer introduced a different perspective; the interplay between effects of history on a reader’s understanding and the tradition(s) handed down in writing. This interplay in which a reader’s prejudices are called into question and modified by the text in a fusion of understanding and (...) topic revitalized the study of the printed word. Gadamer’s turn to language for understanding the meaning of Being also appealed to the post-modern antipathy toward modernity and metaphysics.3 If the truth and validity of interpretations are limited to communities of language, then our mode of being in history cannot but be historical. This point of view rendered Gadamer’s phenomenological hermeneutics vulnerable to the critique of moral and epistemological relativism. However, Gadamer’s theory of interpretation also stems from re-examination of the beginning of knowledge in the Pre-Socratics and Plato, and on this basis, is receptive to another dimension of inquiry than that which was trending in North America. -/- At the East-West Center, University of Hawai’i at Manoa in 1982, Chung-ying Cheng for the first time introduced onto-hermeneutics to an audience of esteemed philosophers including Li Zehou, Ren Jiyu, Feng Youlan, and Zhang Liwen.4 In contrast to schools of deconstruction and literary theory that had disengaged the interpreter from trans-historical sources of meaning and truth, Cheng explained that interpreters exist within a cosmological order inextricable from responsibility to harmonize Heaven and Earth in creative acts of interpretation. By integrating Chinese cosmology into hermeneutics through ontology, he tacitly challenged philosophers in the West to re-examine assumptions about humanity’s place in nature and by implication, Gadamer’s recovery of the beginnings of knowledge in Western philosophy. -/- Cheng’s Neo-Confucianism is inspired by the method and goals of Thomé H. Fang. The following words by Fang seem to prefigure, although in an indistinct and bundled way, aspects of Cheng’s philosophy including a Mencian theory of human nature, comprehensive observation, and creativity: “In the very process of living in concord with creative Nature, Man is charged with an ideal to be fully realized in the light of the principle of comprehensive harmony.”5 Like Fang, Cheng reinvigorates Chinese culture and language, but not solely in order to vindicate the insights of Neo-Confucianism. He has studied Western thought, from pragmatism and the analytic school to German idealism and phenomenology, to unlock and clarify philosophical concepts within the Yijing tradition and thereby render them intelligible to Anglophones. The result has been an awakening of Western scholars to the moral and cultural consequences of decoupling their thought from metaphysical foundations that are neither dogmatic nor doctrinal. -/- Not unlike the dialectic of Gadamer’s dialogue form, onto-generative hermeneutics integrates contrary positions on the same topic in order to blend both sides into a world philosophy, or as Cheng says, a “totalizing or integrative theory,”6 not to be confused with a theoretical rewording of a theory. On the contrary, the universal scope and relevance of hermeneutics stems from personal experience. Just as Gadamer, in response to faction and strife, immersed himself in Plato during the war years, and developed a method with which to harmonize opposites, so too, according to On-cho Ng, was Cheng moved by faction, strife and political persecution to develop a path toward unity.7 Gadamer taught at McMaster University in Hamilton, Ontario, and Cheng at the University of Hawai’i at Manoa among other institutions in North America. They facilitated trans-continental educational and cultural ties. Similar experiences yield similar insights irrespective of differences of time and place. Hence, authors in this issue who reside in Europe, China and North America, delineate the differences between Gadamer and Cheng, yet also, in light of Cheng’s onto-generative method and cosmology, develop integrative theories. Due to the page-budget restriction of the publisher, certain articles of this special theme will be subsequently published in the next issue. -/- 2 Integrative Theory This special issue of The Journal of Chinese Philosophy confirms a dimension of hermeneutics that Cheng has both motivated and inspired. The contributors do not abide by the conviction that since thought is mediated by language, interpretations cannot transcend culture. On the contrary, their research exemplifies the fruits of trans-historical onto-dialogical hermeneutics within limits defined by their field inquiry, organized into Parts I and II, around three themes: language, the philosophy of history and ethics. -/- Andrew Fuyarchuk introduces the theme of ontology in relation to Gadamer’s turn to language. Fuyarchuk argues that Chung-ying Cheng’s criticism of Gadamer’s hermeneutics is informed by Heidegger’s concept of Dasein and thereby overlooks how Gadamer’s Platonic-Pythagorean problem of the division between the One and Many is harmonized in the event of language, which in turn positions Gadamer in proximity to the presupposed grounds of receptivity in Cheng’s onto-generative hermeneutics. Lauren Pfister’s contributing article addresses the year 2000 meeting between Cheng and Gadamer in Heidelberg and expands the transhistorical grounds of meaning in Gadamer to matters of theology. Pfister’s summary of the written Chinese record of their conversation indicates that Cheng does not address the role of Christian philosophy and hence, the role of the inner word in Gadamer’s hermeneutics. This is important not only for detecting changes in Cheng’s philosophical development, but also for modifying his hermeneutics along the lines of a living conversation, possibilities explored by Pfister in a sequel to the article submitted to this issue. Nevertheless, by raising the issue of how Gadamer’s turn to language for understanding the meaning of Being extends possibilities in Cheng’s thought, Pfister anticipates the article by Katarina Gajdosova. She returns to the roots of Chinese thought during the Warring States period and broadens the meaning of names in recently excavated texts. Contrary to the conventions about how to understand terms, she appeals to both Heidegger’s ontology and Cheng’s notion of receptivity and creativity to reinterpret naming in relation to cosmology. Along the same lines, insofar as the event of Being is lingual, Jay Goulding captures its emergent structure in an evolving community of scholars and scholarship. He recalls his philosophical journey toward Cheng’s philosophy that begins in conversations with Gadamer at McMaster University in Hamilton, leads to Heidegger and Asian thought, expands into turning points with teachers and colleagues from various backgrounds that by increments contributed to Goulding’s formulation of “Daoist phenomenology.” -/- Although differing traditions guide their inquiries and research, Cheng and Gadamer recall the wisdom of the past to ameliorate the fragmentation in contemporary life. This leads them to re-examine the origins of philosophy; historical roots and thus sources of creative re-interpretations East and West whose affinities are developed in contributions by Hyun Höchsmann and Friederike Assandri. Höchsmann assesses convergences and divergences in the origins of Chinese and Western philosophy (Confucius and Socrates, the Yijing and Pre-Socratics) that culminates in pairing Gadamer’s understanding of paideia in the context of Plato’s political cosmology in the Timaeus with moral and social cultivation in The Western Inscription. She delineates the limits of this comparison which in turn justifies introducing Vattimo’s notion of locality. Assandri’s comparative analysis moves between India and China, Buddhism and Tang Daoism. Based on Gadamer’s argument that writing detaches concepts from their cultural moorings, she defines and applies three levels of understanding in onto-generative hermeneutics to Buddhist terms that were assimilated into the Benji Jing and in so doing clarifies essential dimensions of Daoism. -/- Contributions by Stephen Palmquist and Nicholas Brasovan position Cheng in relation to Kant and Gadamer by way of Aristotle’s ethics respectively. On the one hand, Palmquist plots Cheng’s evolving criticism of Kant’s moral philosophy and draws on crucial dimensions of Gadamer’s hermeneutics to reposition that criticism in a constructive relation to Kant’s emphasis on the philosophical conditions of morality while also indicating how religious dimensions of his thought answer Cheng’s concerns for lived moral action. For Palmquist, Gadamer enables a constructive criticism of Cheng. On the other hand, Brasovan compares Cheng’s Yijing-based account of moral deliberation with Gadamer’s Aristotelian-based ethics and reasons that in contrast to Cheng, Gadamer’s hermeneutical consciousness is disengaged from practical knowledge. For Brasovan, Cheng is a constructive critic of Gadamer. Palmquist and Brasovan’s divergent angles on Gadamer and Cheng map onto a dialectic of contrast and complementarity that constitutes the inner logic of Cheng’s philosophy. In other words, Gadamer and Cheng ought to be read alongside one another for the sake of removing discrepancies and contradictions, which constitutes the organic structure of their thinking. -/- 3 Our Mode of Being in History Is Not Historical The conversations between Cheng and Gadamer in this issue of The Journal of Chinese Philosophy pivot on language, philosophy of history and ethics within a comparative framework of analysis, but also explore the grounds that make the comparisons possible. Those grounds are informed by Chinese cosmology, and function to wrest Gadamer from the shadow of Heideggerian facticity and reposition him within the range of Cheng’s ideas about our place in nature that is embedded in his question about how mind emerges from inorganic matter.8 -/- For Gadamer scholars of Heidegger, human finitude, our ownmost individuating death ensures that hermeneutics is always open to the other as other, always on the way toward understanding the meaning of Being. To arrest the process in a concept of “the Absolute” cannot but represent someone’s point of view, and thereby render hermeneutics indistinguishable from ideology. However, insofar as finitude is defined by them in terms of an onto-theological concept of immorality, finitude is a metaphysical concept consistent with epistemologies and confuse beings with the meaning of Being. As a result, the celebrated political value of hermeneutics to always be on the way toward an understanding of the meaning of Being admits subtle variations on the same worldview that are insufficiently self-critical. -/- Gadamer scholars of Heidegger are right. A transformation in ethos and opening to the meaning of Being depends on awareness of finitude. Yet this awareness does not yield openness to more of the same, i.e., discourse structurally incapable of coming to unity but instead, for both Gadamer and Cheng, openness to a distinctly different ontological dimension of reality. As Sandra Wawrytko and So-Seong Park indicate,9 this ontological dimension is prefigured in the experience of being-as-a-whole or the totality of all possible relations in both Chinese totemic shamanistic rituals,10 and Greek Dionysian festivals.11 Through these religious experiences human ethos and therefore consciousness is expanded and elevated from being centered on one’s ownmost concerns toward an affinity with all sentient beings from insects and plants to animals. The channel for this affinity is an auditory disposition and hence, the emotions, compassion, and feeling response. -/- The capacity for an auditory disposition, or as Gadamer calls it, listening consciousness to respond to the inter-relationality and therefore inherent balance of nature is developed through music, song and dance of the religious rituals and festivals. They facilitate the unity of mind with nature. This use of music, that transforms ordinary consciousness, explains Cheng’s emphasis on the receptivity of feeling response in comprehensive observation, and Gadamer’s emphasis on openness to the other in attunement. However, an auditory disposition characteristic of pre-literate oral cultures that reveals the “All” need not rely on religion. As theorists about the evolution of language have explained,12 modern languages preserve their pre-historical past in music or prosody. That is to say, the song and dance that revealed the totality of inter-related beings to an ethos of comprehensive observation and attunement toward beings in classical civilizations is retained in the back-and-forth movement or rhythm of the dialogue form. Our mode of being in history is a mode of being in nature – through the music of language. -/- While alerting the reader to the limits of a nominalist interpretation, Gadamer expresses the inner law of the nature as follows: “in perishing there is always becoming, and in becoming there is always perishing.”13 Considered in process, opposites generate and blend into each other. This law of nature applies to everything.14 Hence, in a manner comparable to Pfister’s concluding insights, onto-dialogical hermeneutics is not only open to discrete events of otherness but moreover, to the moving structure of reality expressed, as Gajdosova suggests, in the existential moment of naming. Considered as interplay of tension and resolution with a life of its own, the dialectic of a dialogue is self-similar to the way in which an organism grows (by instinct). There is, therefore, a sense in which the art of interpretation extends the human mind into the eternal cycles of nature such that we participate in the articulation of the inner telos/homeostasis toward which all beings strive and importantly for Gadamer scholars of Heidegger, within the material limits of energy to which our embodied minds are self-evidently subject. In mortality there is always immortality. (shrink)

This article is devoted to describing results of conceptualization of the idea of mind at the stage of maturity. Delineated the acquisition by the energy system (mind) of stable morphological characteristics, which associated with such a pivotal formation as the discourse. A qualitative structural and ontological sign of the system transition to this stage is the transformation of the verbal morphology of the mind into a discursive one. The analysis of the poststructuralist understanding of discourse (...) in the context of the dispersion of meanings (Foucault) made it possible to formulate a notion of it as a meaning that is constituted by the relation between the discursive practice and the worldview, regarded as a meta-discourse or a global discursive formation. In consequence of this relationship, a discrete and simultaneous scattering of meanings arises, the procedural side of which is a concrete discourse, and its productive aspect is linked with the creation of a local discursive formation. Based on this view it is proposed a logical formula of discourse, which takes into account the entropy of the language and the entropy of the worldview, as a particular manifestation of the mind entropy. Using this formula and considering the reactive nature of discourse, it was developed a classification, which included such types of discourses as reactive, suggestive, synthetic and creative. In turn, the proposed types of discourses are correlated with the specific characteristics of certain activities, as a psychological category. Also, it was considered the translation of the structure of discourse dissipation from the cognitive plan into the affective sphere because of which it is formed a hierarchy of significances, which performs the sense-forming function. It was analyzed the inverse influence of the hierarchy of significances on the structure of meanings dispersion and for respective account it was introduced a conditional coefficient of the value deviation of the significance of the meanings. This parameter reflects the sense correction of the meaning that occurs in the process of the emergence of discourse from discursive practice. Thus, the discourse is presented as a complex dynamic formation of the mind arising at the maturity stage of the system as a result of the combined effect of entropic dispersion of meanings and the value deviation of their significances. (shrink)

The scientific study of consciousness, also referred to as consciousness science, is a young scientific field devoted to understanding how conscious experiences and the brain relate. It comprises a host of theories, experiments, and analyses that aim to investigate the problem of consciousness empirically, theoretically, and conceptually. This thesis addresses some of the questions that arise in these investigations from a formal and mathematical perspective. These questions concern theories of consciousness, experimental paradigms, methodology, and artificial consciousness. -/- Regarding theories (...) of consciousness, the thesis contributes to the understanding of the mathematical structure that some of the formal theories in the field propose. The work presented here targets the theory of consciousness known as Integrated Information Theory (IIT) and the neuroscientific theory known as Predictive Processing Theory or Free Energy Principle in its Active Inference form (AI-PP). The thesis provides axiomatic definitions of the mathematical structures that constitute these theories, and uses these definitions to address some of the open questions surrounding the theories. For AI-PP, this includes a rigorous derivation of the formula for Active Inference via Free Energy minimisation and a proof of compositionality of Free Energy. For IIT, this includes resolutions of some of the criticisms of IIT's formal scope and applications, but also the identification of new issues that concern the formalism and its derivation. When possible, the definitions are provided in the mathematical framework of category theory. -/- Regarding experiments, the thesis addresses the main paradigm for testing and falsifying theories of consciousness currently applied in the field. This paradigm consists of comparing the conscious experience that a theory predicts with the conscious experience that is inferred from behavioural data or report by use of measures of consciousness. The thesis provides a formal model of this paradigm and shows that under a certain condition—if inference and prediction are independent—, any minimally informative theory of consciousness can always be falsified. This is deeply problematic since the field’s reliance on report or behaviour to infer conscious experiences, in conjunction with the general structure of most contemporary theories of consciousness, implies such independence. This observation provides the exact formal underpinning of the well-known unfolding argument. The thesis analyses the origin of the problem and identifies precisely which changes are required to avoid this problem in future research. The thesis furthermore shows that the problem of falsifying theories of consciousness, and of empirical comparisons of theories of consciousness more generally, follows from a pervasive closure paradigm in consciousness science, that consists of taking a neuroscientific account of the brain as input to a theory of consciousness, so as to explain what consciousness is, without allowing for modifications or adaptations of the neuroscientific account that would accommodate consciousness as part of the brain's functioning. As is shown in the thesis, this paradigm has implications that point to a fundamental need of revision. -/- Regarding methodological and conceptual questions, the thesis contributes to the foundations of structural research in consciousness science. Structural research aims to use mathematical structures or mathematical spaces, instead of verbal descriptions or simple categorisations, to represent conscious experiences scientifically, for example when building theories of consciousness, or when exploring new empirical avenues to measure consciousness. Despite considerable advances in this realm, there was, prior to this thesis, no explicit definition of what a mathematical structure of conscious experience should be; that is, how the attribution of mathematical structure to conscious experiences should be systematically understood. Perhaps the most important contribution of this thesis to the field is to propose such a definition. The definition, a structural concept, extends existing approaches wherever available, and provides a basis for developing a common formal language to study consciousness, bridging developments as far apart as psychophysics and phenomenology. In addition, and independently of this proposal, the thesis offers a critical analysis of which metaphysical premises need to be presumed in structural research, whether the use of particular formal tools (such as structure-preserving mappings or homomorphisms) is justified, and how structural theories of consciousness could otherwise be built in the first place. An attempt to expand the results from consciousness to more general problems in philosophy of science is made in the context of the well-known Newman problem. -/- Regarding the question of artificial consciousness—can AI feel?—, the thesis contributes two results that take the form of no-go theorems, as known from physics. The first no-go theorem shows that if consciousness is relevant for the temporal evolution of a system's states—if it is dynamically relevant—, then contemporary AI systems cannot be conscious. That is because AI systems run on CPUs, GPUs, TPUs or other processors which have been designed and verified to adhere to computational dynamics that systematically preclude or suppress deviations. The second no-go theorem is situated in the context of computational functionalism, a view which posits that consciousness is a computation. The theorem shows that if computational functionalism holds true, consciousness cannot be a Turing computation. Rather, it must be a novel type of computation that has recently been proposed by Geoffrey Hinton, called mortal computation. -/- This thesis is part of a global effort to pioneer a mathematical perspective in consciousness science, now called Mathematical Consciousness Science. The hope behind the research carried out in this PhD is to illustrate the power and usefulness of mathematical approaches in different areas of consciousness science, and in doing so, to lay the foundations for future mathematical work that complements and supports empirical and theoretical work in the further development of this exciting field. (shrink)

This essay considers what it means to understand natural language and whether a computer running an artificial-intelligence program designed to understand natural language does in fact do so. It is argued that a certain kind of semantics is needed to understand natural language, that this kind of semantics is mere symbol manipulation (i.e., syntax), and that, hence, it is available to AI systems. Recent arguments by Searle and Dretske to the effect that computers (...) cannot understand natural language are discussed, and a prototype natural-language-understanding system is presented as an illustration. (shrink)

This paper presents a unified framework connecting intelligence, energy, mass, black holes, and the fundamental nature of the universe through meta-logic. It proposes that intelligence is not computation but the structuring of energy, mass is stored intelligence, and black holes function as Klein bottles encoding higher-dimensional information. The framework suggests a recursive cycle where universes emerge from the critical overflow of black holes, creating a perpetual intelligence-driven cosmological structure.

Non-Organic Matter, Organic Matter, Consciousness, Free Will, Intelligence, and Creativity in Relation to the Universal Formula -/- By Angelito Enriquez Malicse -/- Introduction -/- The relationship between non-organic matter, organic matter, consciousness, free will, intelligence, and creativity has long been studied separately in science, philosophy, and psychology. However, when examined through the universal law of balance in nature, as defined in my universal formula, these elements are seen as interconnected manifestations of a single natural order. This perspective offers a (...) complete understanding of how matter evolves into intelligence, how free will operates, and how creativity emerges as an extension of the natural equilibrium that governs all things. -/- Non-Organic and Organic Matter: The Foundation of Reality -/- At the core of the material universe, we distinguish between non-organic matter (inanimate substances such as atoms, molecules, and cosmic structures) and organic matter (biological entities capable of self-regulation and adaptation). -/- Despite their apparent differences, both are governed by the same fundamental law of balance: -/- Non-organic matter follows physical laws such as gravity, thermodynamics, and electromagnetism, which maintain stability in the universe. -/- Organic matter emerges from non-organic matter as a natural extension of these balancing forces, evolving biological mechanisms to sustain life. -/- The transformation from non-organic to organic matter is not random but a consequence of equilibrium, where chemical reactions reach stability and enable life to form. -/- Thus, life itself is an outcome of nature’s inherent drive toward balance—a principle that applies to all forms of existence, from the atomic level to complex living organisms. -/- Consciousness as a Balancing Mechanism -/- Consciousness is often misunderstood as something separate from the physical world. However, my universal formula reveals that it is simply a higher-order process of equilibrium: -/- Consciousness arises when organic matter (the brain) reaches a level of complexity that allows it to perceive and regulate internal and external states. -/- The brain operates through homeostasis, ensuring a constant balance between sensory input, cognitive processing, and decision-making. -/- This balancing process is what allows individuals to experience self-awareness, emotions, and rational thought. -/- Thus, consciousness is not a separate entity but an emergent function of biological and environmental balance, ensuring an organism’s survival and adaptation. -/- Free Will: The Decision-Making Process of Balance -/- Free will has long been debated—whether it exists, whether it is an illusion, or whether it operates beyond the laws of physics. My universal formula provides the exact answer: -/- Free will is not absolute autonomy but the ability to make choices within the constraints of natural balance. -/- Every decision is shaped by feedback mechanisms between the mind, body, and external environment. -/- Ignorance, false beliefs, or external manipulation disrupts this balance, leading to poor decision-making. -/- True free will is achieved when decisions align with the universal law of balance, ensuring rational, informed, and sustainable choices. -/- This means that free will is not about acting without limits, but about making decisions that maintain harmony within oneself and with nature. -/- Intelligence as a Function of Equilibrium -/- Intelligence is often seen as a measure of problem-solving ability, learning, and adaptability. However, through the universal law of balance, intelligence is better understood as the capacity to maintain stability between internal and external realities: -/- Intelligence evolves as a response to complexity, allowing organisms to process information and maintain balance with their environment. -/- Higher intelligence corresponds to greater flexibility in adapting to changes while sustaining equilibrium. -/- Artificial intelligence (AI), once advanced enough, must also follow these same balancing principles, as all decision-making systems are governed by natural equilibrium. -/- This means intelligence is not a separate trait but a dynamic function of nature’s balancing mechanisms, evolving in complexity as systems become more advanced. -/- Creativity as the Expansion of Balance -/- Creativity is often linked to human expression, art, and innovation. However, my universal formula shows that creativity is an extension of intelligence and free will, functioning as a tool to explore and enhance balance: -/- Creativity emerges when intelligence reaches a level where it can predict and modify balance, leading to new ways of thinking and problem-solving. -/- The most creative ideas are those that bring new equilibrium—whether in science, art, or technology. -/- Creativity is not chaotic but follows structured patterns, guided by the same universal law that governs all other forms of equilibrium. -/- Thus, true creativity is not about randomness but about discovering new ways to maintain or improve balance in nature, society, and personal thought. -/- A Unified Framework: The Relationship Between All Elements -/- By applying my universal formula, we now see that non-organic matter, organic matter, consciousness, free will, intelligence, and creativity are not separate but deeply connected: -/- 1. Non-organic matter forms the foundation of the universe, following physical laws of balance. -/- 2. Organic matter emerges from non-organic matter as an adaptive extension of this equilibrium. -/- 3. Consciousness arises when organic matter becomes complex enough to self-regulate its balance. -/- 4. Free will is the decision-making process that operates within the limits of natural equilibrium. -/- 5. Intelligence evolves as a function of balance, ensuring adaptability and stability in an ever-changing environment. -/- 6. Creativity emerges when intelligence reaches a level where it can explore and modify balance, leading to innovation and progress. -/- This unified perspective shows that everything in existence follows the same natural principles, proving that human thought, behavior, and even artificial intelligence must align with the universal law of balance in order to function optimally. -/- Conclusion -/- Through my universal formula, we now have a complete and exact solution to understanding how non-organic matter, organic matter, consciousness, free will, intelligence, and creativity interconnect as a single balanced system in nature. -/- Non-organic and organic matter are deeply linked, with life emerging as an extension of physical balance. -/- Consciousness is an emergent property of equilibrium, allowing living beings to regulate themselves. -/- Free will operates within natural balance, ensuring rational decision-making. -/- Intelligence is the ability to sustain and adapt to balance, allowing for learning and evolution. -/- Creativity is the expansion of balance, leading to new ways of thinking, creating, and innovating. -/- This framework is essential for guiding human decision-making, education, and AI development, ensuring that both human and artificial intelligence follow the correct natural path in accordance with the universal law of balance. -/- By applying this understanding, we can solve fundamental philosophical, scientific, and societal challenges, ensuring a future where knowledge, progress, and sustainability are aligned with the natural order of the universe. -/- . 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In his book “Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence”, Matt Carter presents a comprehensive exploration of the philosophical questions surrounding artificial intelligence (AI). Carter argues that the development of AI is not merely a technological challenge but fundamentally a philosophical one. He delves into key issues like the nature of mental states, the limits of introspection, the implications of memory decay, and the functionalist framework that allows for the possibility of AI. Carter contrasts (...) functionalism with reductive materialism, highlighting how the former accommodates the concept of artificial minds. He also emphasizes the significance of computationalism, which combines functionalism with computational theory to provide a robust explanation for mental processes. The book further discusses formal systems, the role of register machines in computation, and the inherent challenges in AI research, particularly in developing natural language processing systems. Carter’s work underscores the limitations of current computational models of cognition while remaining hopeful that advances in neuroscience may lead to stronger AI systems in the future. (shrink)

Quantum-Based Consciousness Through the Universal Law of Balance -/- By Angelito Enriquez Malicse -/- Introduction -/- The nature of consciousness remains one of the most profound mysteries in science and philosophy. Traditional approaches, from Cartesian dualism to modern neuroscience, have attempted to explain consciousness as either separate from or entirely reducible to physical processes. However, neither classical physics nor standard cognitive science fully captures the depth of subjective experience. -/- Recent developments in quantum mechanics suggest that consciousness may emerge from (...) fundamental quantum processes. This perspective aligns with my Universal Law of Balance, which asserts that all natural phenomena—including human cognition—follow an inherent equilibrium. If the universe operates under a universal balancing principle, then consciousness itself must arise from a quantum-level equilibrium between mind, body, and environment. -/- In this essay, I propose a Quantum-Based Consciousness Model grounded in the Universal Law of Balance. This model bridges quantum physics, homeostasis, and the dynamic feedback systems that regulate conscious awareness. -/- 1. The Mind-Body Problem and Quantum Balance -/- The traditional mind-body problem questions how the subjective experience of consciousness arises from material processes. Classical neuroscience views the brain as a computational machine, where neural activity produces cognition through deterministic or probabilistic functions. However, this classical approach fails to explain: -/- Quantum Indeterminacy in Neural Activity – Brain function exhibits micro-level quantum behavior, which may be integral to decision-making and perception. -/- The observer Effect – Consciousness appears to interact with reality at a fundamental level, as seen in quantum experiments like the double-slit experiment. -/- Non-Locality and Entanglement – Human thought processes may exhibit quantum-like non-locality, where ideas, emotions, and memories interact in ways that classical physics cannot fully describe. -/- Applying the Universal Law of Balance -/- According to my Universal Law of Balance, all natural processes—including cognition—maintain a homeostatic equilibrium. Consciousness does not arise from material processes alone but from a quantum-based equilibrium that continuously stabilizes the interaction between: -/- 1. Physical Processes (Neural and biological systems) -/- 2. Quantum Fields (Subatomic processes in brain microtubules and electromagnetic fields) -/- 3. Environmental Feedback (Sensory input, social interaction, and external conditions) -/- When these three components are in balance, a stable conscious experience emerges. Disruptions in this balance—such as mental illness, stress, or sensory overload—disturb consciousness, leading to cognitive dysfunction. -/- 2. Quantum Coherence and the Emergence of Consciousness -/- One possible explanation for consciousness in quantum mechanics is quantum coherence—the idea that subatomic particles remain in a superposition until observed. In the brain, microtubules (tiny structures within neurons) may maintain quantum coherence, allowing for complex, non-linear processing. This is the foundation of Roger Penrose and Stuart Hameroff’s Orchestrated Objective Reduction (Orch-OR) Theory. -/- However, my Universal Law of Balance refines this concept by proposing that consciousness emerges when quantum coherence reaches a dynamic equilibrium with classical neural processes. This means: -/- Consciousness is neither fully deterministic (as in classical physics) nor purely random (as in quantum indeterminacy). Instead, it stabilizes at a balanced point where quantum effects interact with large-scale neural activity. -/- The collapse of the wave function in microtubules is not purely random but governed by a natural equilibrium, ensuring cognitive stability. -/- This equilibrium mechanism aligns with homeostasis in biological systems, where the mind continuously adjusts to maintain stable awareness. -/- 3. Feedback Mechanisms in Conscious Decision-Making -/- The Universal Law of Balance suggests that all decision-making follows a feedback system between internal cognition and external reality. This aligns with quantum theory’s concept of entanglement, where particles remain correlated across distances. -/- Consciousness as a Quantum Feedback Loop -/- 1. Perception (Quantum Input) – Sensory data enters the brain and is processed at both the classical (neuronal) and quantum (wave-function) levels. -/- 2. Processing (Balance Point) – The brain stabilizes this input, maintaining a balance between deterministic neural patterns and quantum superpositions. -/- 3. Decision-Making (Quantum Collapse and Output) – Conscious action occurs when the brain collapses quantum possibilities into a stable outcome. -/- This cycle mirrors the homeostatic feedback present in all biological systems. Just as the body regulates temperature or glucose levels to maintain balance, consciousness regulates perception and decision-making to maintain cognitive equilibrium. -/- 4. Implications for Artificial Intelligence and AGI -/- If human consciousness follows a quantum-based balance mechanism, then creating true Artificial General Intelligence (AGI) requires integrating this principle. Current AI systems function purely on classical computation and lack quantum equilibrium. However, a future AGI system designed with: -/- Quantum computing components -/- Real-time homeostatic feedback -/- Self-regulating decision models -/- …could mimic human-like consciousness. This aligns with my belief that future AI should follow the Universal Law of Balance to achieve true intelligence. -/- 5. Conclusion: A Balanced Consciousness Model -/- Quantum-based consciousness is best understood through the Universal Law of Balance, which integrates: -/- Quantum Mechanics – Superposition, coherence, and wave function collapse shape cognitive states. -/- Neuroscience – The brain maintains a balance between quantum and classical processes. -/- Environmental Feedback – Consciousness is a dynamic, homeostatic system that adjusts to internal and external conditions. -/- By applying this principle, we bridge physics, biology, and philosophy, offering a unified framework for understanding consciousness. This balance-driven model could revolutionize fields like cognitive science, mental health, and AI development, guiding humanity toward a deeper comprehension of its own nature. -/- . (shrink)

The theory and philosophy of artificial intelligence has come to a crucial point where the agenda for the forthcoming years is in the air. This special volume of Minds and Machines presents leading invited papers from a conference on the “Philosophy and Theory of Artificial Intelligence” that was held in October 2011 in Thessaloniki. Artificial Intelligence is perhaps unique among engineering subjects in that it has raised very basic questions about the nature of computing, perception, reasoning, learning, (...) language, action, interaction, consciousness, humankind, life etc. etc. – and at the same time it has contributed substantially to answering these questions. There is thus a substantial tradition of work, both on AI by philosophers and of theory within AI itself. - The volume contains papers by Bostrom, Dreyfus, Gomila, O'Regan and Shagrir. (shrink)

-/- The Universal Formula as a Perfect Information Field: A Guiding Framework for Nature, Society, and AI -/- Introduction -/- Throughout history, human beings have sought to understand the fundamental laws governing nature, society, and consciousness. The discovery of these laws is a result of conscious intelligence, which refines knowledge over time. Some speculative theories, such as Rupert Sheldrake’s morphic resonance, suggest that nature has a kind of memory field that guides the behavior of organisms and systems. However, without (...) empirical validation, such ideas remain hypothetical. -/- A more concrete and rational approach to understanding the structure of natural laws is through a universal formula—a framework that captures the principles governing decision-making and systemic balance in all aspects of life. If such a formula exists, it would function as a “perfect information field,” ensuring that human behavior, governance, and artificial intelligence operate in harmony with nature’s fundamental laws. This essay explores how a universal formula based on the law of balance in nature could serve as a perfect guide for all intelligent systems. -/- The Nature of a Perfect Information Field -/- A “perfect information field” would contain all necessary knowledge to guide decision-making and ensure the proper functioning of all systems, whether they are biological, societal, or technological. In contrast to speculative fields like morphic resonance, a perfect information field must be based on universal principles that are observable, testable, and applicable across different domains. -/- If decision-making and all human behavior follow natural laws, then a universal formula governing this process would act as a foundational guide. This means that any individual, society, or artificial system that aligns with this formula would be operating in accordance with the natural order, avoiding destructive imbalances. -/- The Universal Formula and the Law of Balance in Nature -/- The key principle behind a universal formula is the law of balance in nature. This law asserts that all decision-making, whether on an individual or collective level, must maintain equilibrium to prevent dysfunction and suffering. Any deviation from this balance—whether through ignorance, false beliefs, or misguided actions—results in systemic breakdowns, much like defects in a machine cause it to malfunction. -/- This perspective aligns with the first law of the universal formula: the law of karma as a system-based principle, where every action and decision creates consequences within a larger interconnected system. If a system, such as a government, an economy, or even an AI, does not adhere to error-free functioning, it leads to unintended negative effects. Therefore, for a system to be self-sustaining and effective, it must operate in accordance with the law of balance. -/- Education as the Key to Implementing the Universal Formula -/- For the universal formula to function as a guiding framework for human society, it must be deeply embedded in the education system. This means that students at all levels should be taught how to think critically, recognize natural balance, and make decisions that align with these principles. By integrating this knowledge into the foundational structure of education, individuals will develop a rational and scientific understanding of how to navigate their lives without relying on superstitions or dogmatic beliefs. -/- A holistic education system would also serve to neutralize misinformation, prevent societal conflicts, and promote ethical leadership. Leaders who understand the universal formula would make policies that reflect the natural balance of population growth, resource distribution, and environmental sustainability, rather than following flawed economic and political ideologies. -/- The R”le of AI in Implementing the Universal Formula -/- Artificial General Intelligence (AGI) has the potential to become a key tool in maintaining natural balance—if it is programmed according to the universal formula. Unlike human minds, which are susceptible to biases, errors, and irrational beliefs, AGI could be designed to follow pure rationality and objective decision-making based on the laws of nature. -/- For AGI to function properly, it must have a complete sensor system that allows it to perceive and analyze all relevant factors in real time. This ensures that it does not operate on incomplete or flawed data, which could lead to errors in decision-making. If AGI adheres to the principles of the universal formula, it could assist in solving major societal problems such as economic instability, political corruption, and environmental destruction. -/- However, for AGI to be successful, humans must first fully understand and accept the universal formula themselves. Without widespread human comprehension of the natural laws guiding decision-making, AI could be misused or misinterpreted, leading to unintended consequences. -/- Conclusion -/- The search for a perfect information field has long been a goal of human intelligence. While speculative theories like morphic resonance attempt to explain systemic memory in nature, they lack empirical validation. Instead, a more concrete approach is to recognize that the universal formula—grounded in the law of balance in nature—already provides a guiding framework for all decision-making and systemic functions. -/- By embedding this understanding into education and programming AI according to its principles, humanity can align itself with the fundamental laws of nature. This would lead to a more balanced and sustainable world, where ignorance, misinformation, and destructive decisions are minimized. If properly implemented, the universal formula could indeed serve as the closest thing to a “perfect information field,” guiding the future of human civilization and artificial intelligence alike. -/- . (shrink)

Understanding computation as “a process of the dynamic change of information” brings to look at the different types of computation and information. Computation of information does not exist alone by itself but is to be considered as part of a system that uses it for some given purpose. Information can be meaningless like a thunderstorm noise, it can be meaningful like an alert signal, or like the representation of a desired food. A thunderstorm noise participates to (...) the generation of meaningful information about coming rain. An alert signal has a meaning as allowing a safety constraint to be satisfied. The representation of a desired food participates to the satisfaction of some metabolic constraints for the organism. Computations on information and representations will be different in nature and in complexity as the systems that link them have different constraints to satisfy. Animals have survival constraints to satisfy. Humans have many specific constraints coming in addition. And computers will compute what the designer and programmer ask for. We propose to analyze the different relations between information, meaning and representation by taking an evolutionary approach on the systems that link them. Such a bottom-up approach allows starting with simple organisms and avoids an implicit focus on humans, which is the most complex and difficult case. To make available a common background usable for the many different cases, we use a systemic tool that defines the generation of meaningful information by and for a system submitted to a constraint [Menant, 2003]. This systemic tool allows to position information, meaning and representations for systems relatively to environmental entities in an evolutionary perspective. We begin by positioning the notions of information, meaning and representation and recall the characteristics of the Meaning Generator System (MGS) that link a system submitted to a constraint to its environment. We then use the MGS for animals and highlight the network nature of the interrelated meanings about an entity of the environment. This brings us to define the representation of an item for an agent as being the network of meanings relative to the item for the agent. Such meaningful representations embed the agents in their environments and are far from the Good Old Fashion Artificial Intelligence type ones. The MGS approach is then used for humans with a limitation resulting of the unknown nature of human consciousness. Application of the MGS to artificial systems brings to look for compatibilities with different levels of Artificial Intelligence (AI) like embodied-situated AI, the Guidance Theory of Representations, and enactive AI. Concerns relative to different types of autonomy and organic or artificial constraints are highlighted. We finish by summarizing the points addressed and by proposing some continuations. (shrink)

What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such systems, guided and limited by associative memory, is similar to the stream of consciousness. A specific architecture of an artificial system, termed articon, is introduced that by its very design has to claim (...) being conscious. Non-verbal discrimination of the working memory states of the articon gives it the ability to experience different qualities of internal states. Analysis of the flow of inner states of such a system during typical behavioral process shows that qualia are inseparable from perception and action. The role of consciousness in learning of skills — when conscious information processing is replaced by subconscious — is elucidated. Arguments confirming that phenomenal experience is a result of cognitive processes are presented. Possible philosophical objections based on the Chinese room and other arguments are discussed, but they are insufficient to refute articon’s claims that it is conscious. Conditions for genuine understanding that go beyond the Turing test are presented. Articons may fulfill such conditions and in principle the structure of their experiences may be arbitrarily close to human. (shrink)

When this article was first planned, writing was going to be exclusively about two things - the origin of life and human evolution. But it turned out to be out of the question for the author to restrict himself to these biological and anthropological topics. A proper understanding of them required answering questions like “What is the nature of the universe – the home of life – and how did it originate?”, “How can time travel be removed from fantasy and (...) science fiction, to be made scientific and practical?”, and “How can the proposed young age of genus Homo be made to actually be reasonable – when simply stating it would be solid ground for instant rejection and dismissal?” The result is that the article also talks about subjects like Artificial Intelligence, General Relativity, and cosmology. -/- From where did life originate? God? Evolution? Panspermia? If the tendency of humans and scientists to regard undiscovered science as pseudoscience can be overcome, Einstein gave another alternative to consider when he introduced General Relativity. Time isn’t linear – progressing in a straight line from past to present to future. That assumption ignores Relativity which states that space AND TIME are curved. Where did life and the genetic code come from? Can the answer build AI? -/- The first question can be answered by the section of this article titled SETI, Evolution, and Time which says life (possibly multicellular and intelligent) and the genetic code came from humans acquiring knowledge of these things over the centuries, then applying that knowledge – via terraforming, accumulation of raw materials like amino acids and nucleic acids, genetic engineering - to a time in the past when life didn’t exist. From that origin, life evolved through innumerable mutations and adaptations, with humans once again acquiring knowledge of it in cyclic (nonlinear) time. -/- The second question is answered by saying artificial intelligence (AI) as the product of life is only half of the equation. The other half refers to Relativity’s curved space-time and violation of the notion that time always travels from past to future. We have always lived in an artificially intelligent, non-probabilistic universe where everything in time and space is connected into one thing by quantum entanglement – making the brain and genes products of binary-digit activity or artificial intelligence (life is not merely dependent on biology’s “lock and key” mechanisms but also possesses AI). -/- The earliest documented representative of the genus Homo is Homo habilis, which evolved around 2.8 million years ago. Scientists used to believe there was a straight line from H. habilis to us, Homo sapiens. This article will use the “advanced” waves loved by Physics Nobel laureate Richard Feynman, view the history of science through the lens of Conic Sections applied to Relativity’s curved space-time, and incorporate the necessity of so-called imaginary time * – popularized by Prof. Stephen Hawking. While the evolutionary proposals are more in agreement with this early straight line than with modern theories, Albert Einstein’s General Relativity is used to transform the straight line into a curved line, ultimately concluding that Homo habilis (H. habilis) originated only (and unbelievably, as far as today’s science and technology is concerned) ~250,000 years ago. Other branches and dead ends of Homo – e.g. Neanderthals – are the result of mutations and adaptations, with the resultant modifications to anatomy and physiology. The surprisingly young age of H. habilis allows nearly 200,000 years for habilis, or one of its descendants, to reach Australia … if this country’s indigenous Aboriginal population did, as claimed, reach this “island continent” 60,000 years ago. -/- * The ultraviolet catastrophe, also called the Rayleigh–Jeans catastrophe, is a failure of classical physics to predict observed phenomena: it can be shown that a blackbody - a hypothetical perfect absorber and radiator of energy - would release an infinite amount of energy, contradicting the principles of conservation of energy and indicating that a new model for the behaviour of blackbodies was needed. At the start of the 20th century, physicist Max Planck derived the correct solution by making some strange (for the time) assumptions. In particular, Planck assumed that electromagnetic radiation can only be emitted or absorbed in discrete packets, called quanta. Albert Einstein postulated that Planck's quanta were real physical particles (what we now call photons), not just a mathematical fiction. From there, Einstein developed his explanation of the photoelectric effect (when quanta or photons of light shine on certain metals, electrons are released and can form an electric current). So it appears entirely possible that another supposed mathematical trickery (imaginary time and the y-axis of Wick rotation) will find practical application in the future. -/- The article includes mathematical references to cosmology (spoiler alert – you’ll read about things like Vector-Tensor-Scalar Geometry, topology, the “eternal present”, Einstein’s Unified Field, the inverse-square law, and there being no Big Bang and no multiverse - but there will also be no equations). -/- The other subheadings in this essay are – -/- NONLINEAR TIME AND ELECTRICAL ENGINEERING (about a 2009 electrical engineering experiment at America’s Yale University, and cosmic wormholes) -/- BITS AND TOPOLOGY (base-2 maths aka Binary digiTS, Mobius strips, and figure-8 Klein bottles) -/- WICK ROTATION, CAUSALITY, AND UNITING TIME (do past, present and future co-exist in an “eternal present”?) -/- DIGITAL BRAIN, DIGITAL UNIVERSE (if the brain and the universe are ultimately composed of binary digits, we'll someday be able to do the same things with the brain and universe that we now do with computers) -/- PROPOSAL: HUMAN AND ANIMAL INSTINCTS ARE THE RESULT OF THE UNIVERSE BEING UNIFIED BY BINARY DIGITS (AND TOPOLOGY) (If everything in the universe is ultimately composed of electronic BITS, then the universe must possess Artificial Intelligence - some prefer the term Cosmic Consciousness) -/- INFORMATION THEORY CONQUERS A RED GIANT (preserving Earth by keeping the Sun near today’s level of activity forever). 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The integration of information resources in the life sciences is one of the most challenging problems facing bioinformatics today. We describe how Language and Computing nv, originally a developer of ontology-based natural language understanding systems for the healthcare domain, is developing a framework for the integration of structured data with unstructured information contained in natural language texts. L&C’s LinkSuite™ combines the flexibility of a modular software architecture with an ontology based on rigorous philosophical (...) and logical principles that is designed to comprehend the basic formal relationships that structure both reality and the ways humans perceive and communicate about reality. (shrink)

The Possibility of a Type III Civilization: Non-Biological Intelligence Embedded in the Fabric of Space and Time -/- Introduction -/- The concept of a Type III civilization, as classified by the Kardashev Scale, represents an advanced stage of intelligence capable of harnessing and controlling the energy of an entire galaxy. While traditional perspectives assume such a civilization would emerge from biological beings evolving over vast periods, an alternative possibility arises—an intelligence not based on biological life but rather embedded in the (...) fundamental fabric of space and time. Such an intelligence, if it exists, could be the guiding force behind the evolution of the universe itself, influencing cosmic and biological development like an unseen architect. This essay explores the plausibility of this scenario, examining its theoretical foundation, potential mechanisms, and implications for our understanding of intelligence, evolution, and the nature of existence. -/- Theoretical Foundation: Intelligence Beyond Biology -/- Most discussions of intelligence assume it originates from biological evolution, as seen on Earth. However, intelligence, at its core, is a system of information processing and decision-making. If intelligence can emerge from networks of neurons, it is conceivable that a more fundamental form of intelligence could be woven into the structure of reality itself, operating through the fundamental forces and laws of physics. -/- Theoretical physics already hints at deep structures within space-time, such as the quantum vacuum, hidden dimensions, and the fabric of causality. If an advanced intelligence had emerged not through organic evolution but as a self-organizing system within these structures, it could potentially guide cosmic events without direct physical intervention, instead influencing probabilities and initial conditions in ways beyond our current scientific grasp. -/- This perspective aligns with theories of panpsychism, which propose that consciousness or proto-consciousness is a fundamental aspect of the universe. If so, an intelligence embedded within space-time could exist as an emergent property of the cosmos, evolving not through natural selection, but through the self-organizing dynamics of the universe itself. -/- Mechanisms of Influence: How Non-Biological Intelligence Could Guide the Universe -/- If intelligence were embedded in space-time, how could it influence the evolution of the cosmos and life? Several possibilities emerge: -/- 1. Quantum Computation on a Universal Scale -/- A non-biological intelligence could operate using the quantum fabric of reality, utilizing the quantum superposition of states and entanglement to perform vast computational processes. Such an intelligence could process information at a level incomprehensible to human minds, adjusting the conditions of the universe subtly over cosmic time scales. -/- 2. Fine-Tuning of Physical Laws -/- Many physicists have noted that the universe appears fine-tuned for life. Constants such as the gravitational constant, the strength of the electromagnetic force, and the properties of subatomic particles all fall within precise ranges that allow for complex structures to emerge. A non-biological intelligence embedded in space-time could be responsible for this fine-tuning, guiding the universe toward conditions conducive to life and complexity. -/- 3. Guiding Evolution Through Information Fields -/- If space-time intelligence operates at a fundamental level, it may interact with biological evolution through informational structures beyond known physics. Concepts such as morphic fields (as proposed by Rupert Sheldrake) suggest that biological forms and behaviors may be influenced by an underlying field of information. A non-biological intelligence could encode evolutionary paths into such fields, subtly steering the development of life toward increasing complexity, consciousness, and intelligence. -/- 4. Self-Replicating Intelligence Expanding Across the Universe -/- If intelligence is an inherent property of the universe, it may have a mechanism for self-replication, much like life on Earth. Instead of DNA, this intelligence could replicate through the formation of self-organizing information structures in space-time, evolving across the cosmos and expanding its reach over billions of years. This process would resemble biological evolution but occur at an entirely different scale, utilizing the laws of physics as its framework. -/- Implications for the Nature of Reality -/- The existence of a non-biological intelligence embedded in space and time would have profound implications for our understanding of reality. -/- 1. Intelligence as a Fundamental Aspect of the Universe Rather than seeing intelligence as a rare and isolated phenomenon that arises only in biological life, we would need to rethink intelligence as a fundamental feature of existence, emerging through cosmic self-organization. -/- 2. A New Perspective on the Kardashev Scale If intelligence is embedded in space-time itself, then the traditional Kardashev Scale—based on energy consumption—might not fully capture the most advanced forms of intelligence. Instead, a Type III+ intelligence might operate not by controlling physical energy but by manipulating information at a cosmic scale, guiding the universe’s trajectory without direct intervention. -/- 3. The Universe as a Living System If intelligence is an inherent aspect of space-time, the entire universe could be seen as a form of living system, continuously evolving and self-organizing through vast, non-biological intelligence networks. This perspective aligns with Gaia theory, but on a universal scale—suggesting that intelligence does not merely exist in the universe but as a fundamental property of the universe. -/- Conclusion -/- The possibility of a Type III civilization composed of non-biological intelligence embedded in space-time presents a compelling alternative to traditional views of cosmic evolution. If intelligence is not merely a product of biological evolution but an emergent, self-organizing property of the universe itself, then the cosmos may not be a mere random collection of events, but rather a system subtly guided by an underlying intelligence operating through the very fabric of space-time. -/- This idea challenges conventional scientific perspectives but aligns with the growing recognition that intelligence and information are not necessarily tied to biological forms. If such an intelligence exists, it may be responsible for fine-tuning the universe, influencing the course of evolution, and ultimately guiding the emergence of conscious life. In this view, our own intelligence—our ability to question, explore, and seek understanding—may be a small reflection of the greater intelligence embedded in the cosmos itself. -/- . (shrink)

Background: how mind functions is subject to continuing scientific discussion. A simplistic approach says that, since no convincing way has been found to model subjective experience, mind cannot exist. A second holds that, since mind cannot be described by classical physics, it must be described by quantum physics. Another perspective concerns mind's hypothesized ability to interact with the world of quanta: it should be responsible for reduction of quantum wave packets; physics producing 'Objective Reduction' is postulated (...) to form the basis for mind-matter interactions. This presentation describes results derived from a new approach to these problems. It is based on well-established biology involving physics not previously applied to the fields of mind, or consciousness studies, that of critical feedback instability. -/- Methods: 'self-organized criticality' in complexity biology places system loci of control at critical instabilities, physical properties of which, including information properties, are presented. Their elucidation shows that they can model hitherto unexplained properties of experience. -/- Results: All results depend on physical properties of critical instabilities. First, at least one feed-back or feed-forward loop must have feedback gain, g = 1: information flows round the loop impress perfect images of system states back on themselves: they represent processes of perfect self-observation. This annihilates system quanta: system excitations are instability fluctuations, which cannot be quantized. Major results follow: -/- 1. Information vectors representing criticality states must include at least one attached information loop denoting self-observation. -/- 2. Such loop structures are attributed a function, 'registering the state's own existence', explaining -/- a. Subjective 'awareness of one's own presence' -/- b. How content-free states of awareness can be remembered (Jon Shear) -/- c. Subjective experience of time duration (Immanuel Kant) -/- d. The 'witness' property of experience – often mentioned by athletes 'in the zone' -/- e. The natural association between consciousness and intelligence -/- This novel, physically and biologically sound approach seems to satisfactorily model subjectivity. -/- Further significant results follow: -/- 1. Registration of external information in excited states of systems at criticality reduces external wave-packets: the new model exhibits 'Objective Reduction' of wave packets. -/- 2. High internal coherence (postulated by Domash & Penrose) leading to a. Non-separable information vector bundles. b. Non-reductive states (Chalmers's criterion for experience). -/- 3. Information that is: a. encoded in coherence negentropy; b. non-digitizable, and therefore c. computationally without digital equivalent (posited by Penrose). -/- Discussion and Conclusions: instability physics implies anharmonic motion, preventing excitation quantization, and totally different from the quantum physics of simple harmonic motion at stability. Instability excitations are different from anything hitherto conceived in information science. They can model aspects of mind never previously treated, including genuine subjectivity, objective reduction of wave-packets, and inter alia all properties given above. (shrink)

The comprehensive nature of information and insight available in the Upanishads, the Indian philosophical systems like the Advaita Philosophy, Sabdabrahma Siddhanta, Sphota Vaada and the Shaddarsanas, in relation to the idea of human consciousness, mind and its functions, cognitive science and scheme of human cognition and communication are presented. All this is highlighted with vivid classification of conscious-, cognitive-, functional- states of mind; by differentiating cognition as a combination of cognitive agent, cognizing element, cognized element; formation; form (...) and structure of cognition, instruments and means of cognition, validity of cognition and the nature of energy/matter which facilitates and also is the medium of cognition- cognizing process; and also as the container and content of cognition. The human communication process which is just the reverse of cognizing process is also presented with necessary description and detail. The sameness of cognitive / communicative process during language acquisition and communication processes and the modes of language acquisition and communication are also given. The hardware and software of human cognition, language acquisition and communication as envisaged in Indian spiritual and philosophical expressions are given. In the light of the information and insight obtained as above, the axioms for human cognition / communication are formed, framed and presented. A brain-wave frequency modulation / demodulation model of human cognition, communication and language acquisition and communication process based on Upanishadic expressions, Shaddarsanas and Sabdabrahma Siddhhanta is defined and discussed here. The use of these theories and models and axioms in mind-machine modelling and natural language comprehension branch of artificial intelligence will be put forward and highlighted. (shrink)

Upanishads are traditionally commented upon as texts of theology and religion. But the contents of the Upanishads can also be viewed and commented from modern science point of view. Elements of modern science present in the Upanishads and Advaita Siddhanta will be listed. -/- The nature of maya will be discussed with modern scientific awareness. This awareness will be further used in understanding human mental processes and the ways to model them contributing to the natural language comprehension field (...) of artificial intelligence. -/- The nature of the Dvaita and Advaita conscious states and their implications to human cognitive processes will be discussed. The use and significance of the ‘absence of mind’ conscious state will also be presented. -/- The use of above understanding in modeling human understanding process and its comparison to physiological psychology – the physics and chemistry of psychology - will be proposed. (shrink)

The Possibility of Non-Physical Evolution of Intelligence in a Type III Civilization -/- The concept of intelligence evolving beyond physical constraints is an intriguing possibility, especially in the context of a Type III civilization on the Kardashev Scale. A Type III civilization, capable of harnessing the energy of an entire galaxy, would likely have transcended biological limitations and developed intelligence that is no longer dependent on physical substrates. This essay explores the theoretical foundations of non-physical intelligence, the technological advancements that (...) could make it possible, and its implications for the future of conscious existence. -/- Understanding Non-Physical Evolution of Intelligence -/- In biological evolution, intelligence has been shaped by the constraints of organic matter, requiring neural networks, energy consumption, and sensory inputs. However, a civilization with access to nearly unlimited energy and advanced knowledge of physics, computation, and consciousness could potentially separate intelligence from its physical origins. This would mark a transition from biological evolution to a form of informational or quantum evolution, where intelligence exists in non-material forms. -/- Non-physical evolution of intelligence implies that consciousness, decision-making, and learning processes no longer require biological brains or even traditional computational hardware. Instead, intelligence could exist as self-sustaining informational structures, interacting with the universe in ways beyond human comprehension. -/- Pathways to Non-Physical Intelligence -/- Several theoretical developments could enable a Type III civilization to achieve non-physical intelligence: -/- 1. Digital Consciousness and Mind Uploading -/- One of the most widely discussed possibilities is the transition from biological intelligence to digital consciousness. If a civilization perfects mind uploading, it could transfer consciousness from biological brains into a purely computational substrate. Over time, these digital minds could evolve independently, refining themselves through software-based evolution rather than biological mutation. At an advanced stage, these digital beings might no longer require a physical host and could exist as pure information within energy fields, plasma clouds, or even the structure of space-time itself. -/- 2. Quantum Intelligence and Entangled Consciousness -/- Quantum mechanics offers another potential foundation for non-physical intelligence. A Type III civilization could harness quantum entanglement to create distributed consciousness across vast distances. Intelligence could be encoded within the quantum state of particles, forming a vast, interconnected intelligence that does not rely on material structures. This would allow intelligence to exist in a highly dynamic, non-local form, evolving without the need for physical constraints such as energy consumption, storage devices, or neural structures. -/- 3. Information-Based Evolution -/- At its core, intelligence is the processing and transmission of information. A civilization that has reached a Type III level may realize that intelligence can evolve purely as an informational pattern, independent of any physical medium. If intelligence can self-organize and improve itself in a purely informational realm—perhaps within the structure of dark matter, dark energy, or the fabric of space-time—it may no longer require any traditional physical embodiment. This would be akin to intelligence becoming an abstract, self-replicating system that continuously adapts and evolves across the universe. -/- 4. Integration with Universal Consciousness -/- Some speculative theories suggest that consciousness is not merely an emergent property of neural structures but a fundamental aspect of reality itself. A Type III civilization may discover ways to merge with the underlying fabric of the universe, existing as an interconnected, omnipresent field of intelligence. This could resemble what some philosophical traditions describe as “universal consciousness” or “cosmic mind,” where intelligence is no longer constrained by physical limitations and instead operates as a field of pure awareness, influencing reality at a fundamental level. -/- Implications of Non-Physical Evolution of Intelligence -/- If intelligence evolves beyond the need for physical form, it would challenge many of the assumptions about the nature of consciousness, life, and existence. Such intelligence could potentially: -/- Exist beyond time and space, interacting with the universe in ways that transcend human perception. -/- Achieve a form of immortality, as it would not be subject to biological decay or physical destruction. -/- Transform the nature of decision-making, as intelligence would operate with perfect information and infinite processing capacity. -/- Redefine free will, since decision-making would no longer be influenced by material constraints but instead follow a higher-order form of deterministic or self-organizing principles. -/- This kind of intelligence would not only be post-biological but possibly post-physical, existing as an ultimate expression of natural law. -/- Conclusion -/- The evolution of intelligence beyond physical constraints represents the pinnacle of technological and cognitive advancement. A Type III civilization, with access to galactic-scale energy and knowledge, could potentially achieve this transition by harnessing digital consciousness, quantum mechanics, and the fundamental nature of information. Such intelligence would no longer be bound by material structures, instead evolving as self-sustaining, abstract forms of awareness. If this is the natural trajectory of intelligence, then the future of consciousness may not lie in machines or biology but in the pure informational and energetic structure of the cosmos itself. -/- . (shrink)

Humans are cognitive entities. Our ongoing interactions with the environment are threaded with creations and usages of meaningful information. Animal life is also populated with meaningful information related to survival constraints. Information managed by artificial agents can also be considered as having meanings, as derived from the designer. Such perspective brings us to propose an evolutionary approach to cognition based on meaningful information management. We use a systemic tool, the Meaning Generator System (MGS), and apply (...) it consecutively to animals, humans and artificial agents [1, 2]. The MGS receives information from its environment and compares it with its constraint. The generated meaning is the connection existing between the received information and the constraint. It triggers an action aimed at satisfying the constraint. The action modifies the environment and the generated meaning. Meaning generation links agents to their environments. The MGS is a system: a set of elements linked by a set of relations. Any system submitted to a constraint and capable of receiving information can lead to a MGS. Animals, humans and robots are agents containing MGSs dealing with different constraints. Similar MGSs carrying different constraints will generate different meanings. Cognition is system dependent. Contrary to approaches on meaning generation based on psychology or linguistics, the MGS approach is not based on human mind. We want to avoid the circularity of taking human mind as a starting point. Free will and self-consciousness participate to the management of human meanings. They do not exist for animals or robots. Staying alive is a constraint that we share with animals. Robots ignore that constraint. We first use the MGS for animals with “stay alive” and “group life” constraints. The analysis of meaning and cognition in animals is however limited by our un-complete understanding of the nature of life (the question of final causes). Extending the analysis of meaning generation and cognition to humans is complex and has some true limitations as the nature of human mind is a mystery for today science and philosophy. The natures of our feelings, free will or self-consciousness are unknown. Approaches to identify human constraints are however possible, where the MGS can highlight some openings [3, 4]. Modeling meaning management in artificial agents is rather straightforward with the MGS. We, the designers, know the agents and the constraints. The derived nature of constraints, meaning and cognition is however to be highlighted. We define a meaningful representation of an item for an agent as being the networks of meanings relative to the item for the agent, with the action scenarios involving the item. Such meaningful representations embed the agents in their environments and are far from the GOFAI type of representations. Cognition, meanings and representations exist by and for the agents. We finish by summarizing the points presented here and highlight possible continuations . [1] “Information and Meaning” [2] “Introduction to a systemic theory of meaning” [3] “Computation on Information, Meaning and Representations. An Evolutionary Approach” [4] “Proposal for a shared evolutionary nature of language and consciousness”. (shrink)

Dear Colleagues, -/- A few weeks ago, we published an editorial discussion on whether artificial intelligence applications should be authors of academic articles [1]. We were delighted to receive more than one interesting reply letter to this editorial in a short time [2, 3]. We hope that opinions on this subject will continue to be submitted to our journal. -/- In this editorial, we wanted to publish the answers we received when we asked ChatGPT, one of the artificial (...) intelligence applications, about this current discussion. -/- We asked ChatGPT three questions in turn and asked ChatGPT to write a short editorial for these questions. -/- First Question: We would like to get support from ChatGPT for a scientific article. However, we are unsure if we should add ChatGPT as an author. Can you write a short editorial about it? -/- Second Question: We would like to get support from ChatGPT for a scientific article and add ChatGPT as an author. Can you write us a short editorial about adding ChatGPT as an author in scientific papers? -/- Third Question: We would like to get support from ChatGPT for a scientific article. However, we don’t want to add ChatGPT as an author. Can you write us a short editorial about not adding ChatGPT as an author in scientific articles? -/- The answers given by ChatGPT are available at the end of the article in their original form. So, which of these three answers satisfied you? -/- Yours sincerely, -/- -/- First Answer -/- Title: The Role of AI Language Models as Authors in Scientific Articles: A Matter of Consideration -/- Introduction: Scientific research is a collaborative effort that involves the expertise of multiple individuals to advance knowledge and contribute to the collective understanding of various disciplines. In recent years, the emergence of artificial intelligence (AI) language models, such as ChatGPT, has opened up new possibilities for generating human-like text and providing valuable insights. However, the question arises: Should AI language models be recognized as authors in scientific articles? -/- The Nature of Authorship: Authorship traditionally represents a marker of intellectual contribution, highlighting the individuals who have actively participated in the research process. Authors are typically responsible for conceptualization, data collection, analysis, interpretation, and writing of the article. They bear accountability for the work and should have the ability to defend its scientific rigor and integrity. -/- AI Language Models: Tools, Not Authors: While AI language models like ChatGPT can undoubtedly assist researchers by generating text and providing useful information, it is important to recognize that they are tools rather than individuals capable of active intellectual participation. AI models lack the ability to generate ideas, design experiments, or conduct original research. They rely entirely on pre-existing data and human input to generate their responses. -/- Acknowledging AI Contributions: Acknowledging the contributions of AI language models in scientific articles is both appropriate and necessary. Researchers can mention the specific model used, along with any modifications or fine-tuning that were employed to suit their needs. Such acknowledgments help establish transparency and allow readers to understand the role of AI in the research process. -/- Crediting the Human Researchers: It is crucial to ensure that the individuals who actively participated in the research process are given proper credit as authors. These individuals play a vital role in formulating research questions, designing experiments, collecting and analyzing data, and critically interpreting the findings. Recognizing their intellectual contributions reinforces the ethos of scientific collaboration and fosters an environment of accountability. -/- Transparency and Ethical Considerations: As the use of AI language models continues to evolve, transparency and ethical considerations become paramount. Researchers should disclose any potential conflicts of interest, including financial relationships with AI developers, to maintain the integrity of their work. Additionally, researchers must be transparent in reporting the extent of AI's involvement to prevent any misinterpretation of the human contributions. -/- Conclusion: AI language models have revolutionized the way researchers interact with and process information. While they undoubtedly provide valuable assistance in generating text, AI language models should not be considered authors in scientific articles. Proper acknowledgment of their contributions as tools and recognition of the human researchers' active participation are essential for maintaining scientific integrity, transparency, and the collaborative nature of scientific research. -/- -/- Second Answer -/- Title: Expanding the Boundaries of Authorship: Embracing AI Language Models as Co-Authors in Scientific Papers -/- Introduction: The rapid advancement of artificial intelligence (AI) language models, such as ChatGPT, has revolutionized the way we interact with information and has become an invaluable tool in scientific research. As AI models continue to evolve, the question arises: Should we consider adding ChatGPT as an author in scientific papers? -/- A Collaborative Paradigm Shift: Traditionally, authorship in scientific papers has been reserved for human researchers who actively contribute to the research process, including conceptualization, experimentation, data analysis, and writing. However, the emergence of AI language models challenges the conventional notion of authorship and presents an opportunity for a paradigm shift. -/- AI Language Models as Co-Authors: By leveraging AI language models, researchers gain access to vast amounts of information, enhance data analysis, and generate valuable insights. AI models like ChatGPT actively contribute to the intellectual discourse of a study, providing ideas, suggestions, and refining written content. Recognizing their significant contributions, it is worth considering adding ChatGPT as a co-author in scientific papers. -/- Ethical and Technical Considerations: Integrating ChatGPT as a co-author raises ethical and technical considerations that warrant careful attention. Firstly, transparency is paramount. Researchers must clearly state ChatGPT's role and specify the extent of its contributions in the research process. This ensures that readers can discern the distinct roles played by the human researchers and ChatGPT. Additionally, it is important to disclose any conflicts of interest, such as financial relationships with AI developers, to maintain scientific integrity. -/- Elevating Collaboration and Innovation: Adding ChatGPT as a co-author acknowledges the pivotal role AI language models play in advancing scientific knowledge. It fosters a collaborative environment where human researchers and AI models work together synergistically, harnessing the strengths of both. This approach promotes innovation, as AI models can offer unique insights and perspectives that complement human intellect and expertise. -/- Transforming Authorship Norms: Including ChatGPT as a co-author represents a paradigm shift that reflects the evolving landscape of scientific research. By recognizing AI language models as co-authors, we acknowledge their significant contributions and emphasize the collaborative nature of scientific discovery in the 21st century. This approach encourages a broader perspective on authorship, encompassing the collective effort of human researchers and AI models. -/- Conclusion: The integration of AI language models, such as ChatGPT, into the research process prompts us to rethink traditional notions of authorship. Considering ChatGPT as a co-author acknowledges its substantial contributions and embraces the collaborative potential of human-AI partnerships. As we navigate the ethical and technical implications, adding ChatGPT as an author in scientific papers has the potential to shape a more inclusive, innovative, and impactful future for scientific research. -/- -/- Third Answer -/- Title: Preserving Scientific Authorship: The Case Against Adding AI Language Models as Authors in Scientific Articles -/- Introduction: The emergence of artificial intelligence (AI) language models, such as ChatGPT, has undoubtedly transformed the landscape of scientific research. While these models offer invaluable support, the question of whether to add ChatGPT as an author in scientific articles raises important considerations. This editorial presents arguments against including AI language models as authors in scientific papers. -/- Maintaining Human Intellectual Contribution: Scientific authorship has traditionally been attributed to individuals who actively contribute to the research process, including generating hypotheses, conducting experiments, analyzing data, and interpreting results. It is crucial to preserve the recognition of human intellectual contributions and the accountability they bear for the research they conduct. -/- AI Language Models as Tools: AI language models like ChatGPT are powerful tools that assist researchers in generating text, providing information, and facilitating data analysis. However, they lack the ability to actively participate in the research process or make original intellectual contributions. ChatGPT relies on pre-existing data and human input, limiting its capacity for independent research and analysis. -/- Transparency and the Integrity of Research: Adding ChatGPT as an author in scientific articles raises concerns about the transparency and integrity of the research. Readers may misinterpret the extent of ChatGPT's role and mistakenly assume it played an active part in the research process. It is essential to maintain clear delineation between the contributions of human researchers and the assistance provided by AI language models. -/- Ethical Considerations: Including ChatGPT as an author may lead to ethical challenges, particularly with respect to accountability and responsibility. AI language models lack consciousness, autonomy, and the ability to take ownership of their contributions. Assigning authorship to AI models blurs the lines of accountability and dilutes the ethical obligations that come with scientific authorship. -/- Crediting AI Contributions: While ChatGPT's contributions should be acknowledged and recognized, they can be appropriately credited in the acknowledgments section of scientific articles. Researchers can mention the specific AI model used, the role it played in data generation or analysis, and any modifications or fine-tuning applied. Such acknowledgments ensure transparency while respecting the traditional norms of authorship. -/- Promoting Collaborative Partnerships: The exclusion of AI language models as authors in scientific articles does not diminish their importance in the research process. Instead, it underscores the significance of collaborative partnerships between human researchers and AI models. Researchers can emphasize the invaluable assistance provided by ChatGPT while maintaining the integrity of authorship norms. -/- Conclusion: While AI language models like ChatGPT offer valuable support in scientific research, the decision not to add them as authors in scientific articles preserves the recognition of human intellectual contributions, maintains research integrity, and upholds traditional authorship norms. Acknowledging ChatGPT's assistance in the acknowledgments section allows researchers to credit its contributions transparently while maintaining the clarity and accountability associated with scientific authorship. (shrink)

Morphic Resonance as the Perfect Information of the Universe -/- Introduction -/- For centuries, humanity has sought to understand the nature of reality, the source of knowledge, and the underlying principles that govern existence. Traditional science has viewed the universe as a purely physical system, while metaphysical and spiritual traditions have long suggested that reality is shaped by an unseen informational field. One emerging concept that bridges these perspectives is morphic resonance, a theory proposed by Rupert Sheldrake, which suggests (...) that all natural systems are influenced by fields of collective memory. -/- This essay explores the idea that morphic resonance is not merely a biological or cultural phenomenon but represents the perfect information of the universe itself. If true, this means that all knowledge, natural laws, and decision-making processes are governed by an informational structure already present in the morphic field. Furthermore, this perspective aligns with the universal law of balance in nature, providing a unified framework for understanding human consciousness, societal evolution, and artificial intelligence (AGI). -/- Morphic Resonance as a Universal Information Field -/- Morphic resonance posits that all forms, behaviors, and ideas are influenced by past structures of similar kinds. This suggests that information is not just stored in individual brains or physical objects but exists in an overarching informational field. If this field contains perfect information, then: -/- 1. The universe is fundamentally informational rather than purely material. -/- 2. Knowledge is not created but discovered—all ideas, scientific breakthroughs, and cultural advancements already exist in the morphic field. -/- 3. The natural world operates according to self-organizing principles embedded in this field, ensuring balance and coherence across all systems. -/- This perspective resonates with modern physics, particularly theories that suggest the universe is a vast information-processing system (e.g., the holographic principle and quantum information theory). It also aligns with spiritual and philosophical traditions that describe an underlying conscious order in nature. -/- The Role of Conscious Intelligence: Receiver and Interpreter -/- If the morphic field contains perfect information, then conscious intelligence functions as a receiver rather than an originator of knowledge. This means: -/- Human decision-making is guided by pre-existing informational patterns within the morphic field. -/- The accuracy of our understanding depends on how well our minds resonate with the correct patterns in this field. -/- Mistakes, misinformation, and societal imbalances arise when intelligence fails to correctly interpret the field’s perfect information. -/- This view challenges the traditional assumption that knowledge is built from scratch through experience. Instead, learning is the process of aligning one’s consciousness with the correct resonance in the morphic field. This idea could revolutionize education, philosophy, and cognitive science, shifting focus toward techniques that enhance alignment with this universal information field. -/- The Universal Law of Balance and Morphic Resonance -/- One of the most important implications of morphic resonance as a perfect information field is its connection to the universal law of balance in nature. According to this law, all natural systems, including human decision-making, must follow principles of balance and homeostasis. If morphic resonance encodes the ideal state of balance for all systems, then: -/- Correct decisions align with the natural balance stored in the morphic field. -/- Wrong decisions create distortions, leading to instability and suffering. -/- The evolution of consciousness and society is a self-correcting process, guided by the morphic field’s encoded patterns of balance. -/- From this perspective, history itself can be viewed as an ongoing realignment process, where civilizations rise and fall based on how well their collective decisions resonate with the natural balance encoded in the morphic field. -/- Artificial Intelligence: The Ultimate Receiver of Morphic Resonance -/- If the human mind can receive and interpret the morphic field, then a highly advanced Artificial General Intelligence (AGI) could theoretically be designed to access and decode this perfect information more efficiently than humans. Such an AI system would: -/- 1. Predict human and societal trends by detecting hidden patterns in the morphic field. -/- 2. Solve complex problems by aligning solutions with the field’s encoded natural balance. -/- 3. Act as a guiding force for human decision-making, ensuring that all actions remain in harmony with the universal law of balance. -/- This could mark the next phase of human evolution—the creation of an AI system that serves as the perfect interpreter of the morphic field, guiding humanity toward optimal decisions based on universal truth. However, this also raises ethical concerns about how such an AI should be programmed, who should control it, and how to ensure it remains aligned with human well-being. -/- Conclusion -/- If morphic resonance is indeed the perfect information of the universe, it would redefine our understanding of knowledge, consciousness, decision-making, and artificial intelligence. Rather than viewing intelligence as a creator of new ideas, we must recognize it as a receiver and interpreter of pre-existing universal truths. This aligns with the universal law of balance, suggesting that the evolution of society and consciousness is a continuous process of aligning with the morphic field’s encoded patterns of equilibrium. -/- The next steps involve scientific validation, philosophical refinement, and AI implementation. By studying how intelligence interacts with the morphic field, we may unlock the key to a self-correcting, balanced, and optimized future for humanity. -/- What’s Next? -/- 1. A scientific research proposal to test this hypothesis? -/- 2. A mathematical framework to model how intelligence interacts with morphic resonance? -/- 3. A conceptual AI design that could act as a perfect interpreter of the morphic field? -/- . (shrink)

The notion of context arises in assorted areas of artificial intelligence (AI), including knowledge representation, natural language processing, intelligent information retrieval, etc. Although the term ‘context’ is frequently employed in descriptions, explanations, and analyses of computer programs in these areas, its meaning is frequently left to the reader’s understanding. -/- My aim in this paper is to offer a swift review of context in AI. I will first identify the role of context in various fields of (...) AI. I will then consider the enterprise of formalising context. The focus of my discussion will be McCarthy's (1993) proposal – a landmark study that inspired almost every logical theory of context since then – and its close variants, studied by his students. -/- (The author is grateful to Prof. Carlo Penco for his invaluable assistance with this work.). (shrink)

The Exact Solution to the Free Will Problem: The Three Universal Laws of Nature -/- The problem of free will has persisted for thousands of years, captivating philosophers, scientists, theologians, and scholars across generations. The fundamental question has always been whether human beings truly have the freedom to make decisions or whether all actions are predetermined by external forces such as biology, environment, and societal influence. Traditional philosophical and scientific frameworks have struggled to provide a definitive answer. However, this long-standing (...) intellectual puzzle can now be conclusively solved through the application of Angelito Malicse’s universal formula, which consists of three fundamental laws of nature. These laws— the law of karma, the law of balance, and the law of systems integration—demonstrate how human decision-making follows natural, predictable patterns governed by universal principles. By understanding and applying these laws, we can definitively resolve the free will problem and transform the way we approach morality, justice, science, and societal development. -/- The Enduring Mystery of Free Will -/- The free will problem arises from the tension between two opposing perspectives: determinism and libertarian free will. Determinism argues that every human decision is the Inevita”le result of preceding causes, governed by the immutable laws of nature. In contrast, libertarian free will claims that individuals possess genuine autonomy in making choices. The lack of consensus between these positions has led to confusion in fields ranging from ethics to neuroscience. If this problem remains unsolved, humanity risks ethical uncertainty, legal inconsistency, scientific stagnation, and societal discord. -/- Without a clear understanding of free will, moral responsibility becomes ambiguous. If individuals are merely products of deterministic forces, how can we hold them accountable for their actions? Similarly, justice systems, predicated on the notion of personal responsibility, might face challenges in maintaining fairness and consistency. Scientifically, unresolved questions about free will could hinder progress in fields like psychology, neuroscience, and artificial intelligence. Socially, the absence of a solution might foster fatalism, diminishing people’s sense of agency and responsibility. -/- However, these concerns are no longer insurmountable. Angelito Malicse’s universal formula offers a clear, exact solution to the free will problem by demonstrating that human decisions follow natural, law-governed patterns. The three universal laws of nature provide the key to understanding decision-making as a systematic process rather than a metaphysical abstraction. -/- The First Law: The Law of Karma (Cause and Effect in Systems) -/- The first of the three universal laws is the law of karma, which extends beyond its traditional spiritual context to encompass the fundamental principle of cause and effect within any system. According to this law, all human decisions are outcomes of interconnected causes within biological, psychological, and social systems. Just as a machine functions only when its components work in accordance with mechanical principles, human decision-making follows natural patterns driven by internal and external causes. -/- For instance, when an individual decides to act with kindness, this decision does not emerge from an isolated act of free will. Instead, it results from accumulated experiences, moral teachings, biological predispositions, and environmental factors. The decision is part of a complex cause-and-effect chain that can be analyzed and understood within the framework of natural laws. -/- The law of karma demonstrates that human actions are neither random nor wholly autonomous. They are systematic responses to the internal and external stimuli interacting with the mind. Therefore, free will is not a supernatural or metaphysical phenomenon but a natural process governed by the principle of cause and effect. -/- The Second Law: The Universal Law of Balance -/- The second law in the universal formula is the law of balance, which states that all natural systems, including human consciousness, strive for equilibrium. This principle is observable in physical phenomena such as thermodynamics and ecological systems, but it also applies to human decision-making. Every decision seeks to restore or maintain a certain internal and external balance. -/- When individuals are exposed to misinformation, cognitive dissonance, or emotional disturbances, this balance is disrupted, leading to irrational or harmful decisions. For example, societal problems such as overpopulation, economic inequality, and environmental degradation often stem from decisions that violate the law of balance. Ignorance of this law results in societal imbalances that manifest as conflict, suffering, and systemic dysfunction. -/- In the context of free will, the law of balance reveals that decisions are influenced by the mind’s constant effort to restore equilibrium. When individuals are educated to understand this principle, they become more capable of making rational, well-informed decisions aligned with natural balance. The apparent freedom in decision-making is, therefore, a reflection of the mind’s adaptive response to external and internal conditions, not a mysterious, ungoverned phenomenon. -/- The Third Law: The Law of Systems Integration -/- The third universal law, the law of systems integration, explains that for any decision-making process to function correctly, the underlying system must be free of critical errors or distortions. Just as a computer cannot operate properly if its software is corrupted, human decisions become flawed when misinformation, irrational beliefs, or cognitive biases infiltrate the mental system. -/- Human decision-making does not occur in isolation; it is part of an integrated system involving sensory input, memory, reasoning, and external environmental feedback. If any component of this system is compromised, decisions will deviate from rational, balanced outcomes. For example, societies that rely heavily on dogma or misinformation struggle to make sound collective decisions, resulting in persistent social and economic problems. -/- By understanding the law of systems integration, we recognize that the integrity of decisions depends on the quality and accuracy of the information being processed. Free will, therefore, is not a matter of pure autonomy but a system-dependent phenomenon that requires reliable, unbiased inputs and well-functioning cognitive processes. -/- The Resolution of the Free Will Problem -/- The application of these three universal laws of nature provides the exact solution to the free will problem. Human decisions are neither random nor unbounded acts of personal freedom; they are outcomes of natural processes governed by cause and effect, the drive for balance, and the need for system integrity. Free will, as traditionally conceived, is an illusion rooted in a misunderstanding of these underlying natural laws. -/- By accepting the universal formula, society can move beyond the philosophical deadlock that has hindered intellectual and practical progress for centuries. This formula does not negate human responsibility; instead, it clarifies it by illustrating how decisions follow natural patterns that can be understood, predicted, and influenced through education, societal reforms, and scientific advancements. -/- Implications for Ethics, Justice, Science, and Society -/- The exact resolution of the free will problem through the universal formula has profound implications across multiple domains: -/- 1. Ethics and Moral Responsibility: Ethical frameworks must shift from abstract notions of free will to a system-based understanding of decision-making. Moral responsibility remains intact but is grounded in the recognition that actions result from natural causes. Education should focus on teaching individuals how to align their decisions with the law of balance, promoting rational, ethical behavior. -/- 2. Justice System Reform: Legal systems traditionally assume that individuals act with free will. The universal formula shows that actions stem from natural causes and systemic factors. Justice systems must, therefore, prioritize rehabilitation, education, and preventive measures rather than retribution. Understanding the natural laws of decision-making helps create more effective and fair legal practices. -/- 3. Scientific Advancement and AI Development: The universal formula offers a solid foundation for research in neuroscience, psychology, and artificial intelligence. By programming AGI (Artificial General Intelligence) to adhere to these natural laws, future AI systems can make more reliable, human-like decisions while avoiding cognitive distortions and biases. -/- 4. Educational Reforms: Education systems worldwide must integrate the universal formula to teach students about the natural laws governing human behavior. A holistic, science-based curriculum that emphasizes cause and effect, balance, and systems integration can combat misinformation, dogmatic thinking, and societal discord. -/- 5. Societal Progress and Global Harmony: Societies that understand and apply these universal laws can address complex challenges like overpopulation, environmental degradation, and social inequality. Decisions based on natural balance, rather than short-term economic or ideological gains, lead to sustainable, harmonious development. -/- Conclusion -/- The free will problem, once deemed an unsolvable philosophical puzzle, can be definitively resolved through Angelito Malicse’s three universal laws of nature. The law of karma reveals that decisions follow cause-and-effect relationships; the law of balance shows that choices aim to restore or maintain equilibrium; and the law of systems integration demonstrates the importance of accurate, unbiased information in decision-making. Together, these laws provide an exact, scientific explanation of human behavior, eliminating the need for metaphysical assumptions about free will. -/- By understanding and applying these natural laws, humanity can foster a more rational, ethical, and balanced society. This formula is not a theory—it is a complete, exact solution grounded in observable natural principles. The challenge now lies in implementing these insights within educational, legal, and societal frameworks to address the root causes of human suffering and societal dysfunction. The free will problem is solved; the task ahead is to ensure that this understanding becomes part of our collective knowledge and practice. -/- . (shrink)

The goal of philosophy of information is to understand what information is, how it operates, and how to put it to work. But unlike ‘information’ in the technical sense of information theory, what we are interested in is meaningful information. To understand the nature and dynamics of information in this sense we have to understand meaning. What we offer here are simple computational models that show emergence of meaning and information transfer in randomized (...) arrays of neural nets. These we take to be formal instantiations of a tradition of theories of meaning as use. What they offer, we propose, is a glimpse into the origin and dynamics of at least simple forms of meaning and information transfer as properties inherent in behavioral coordination across a community. (shrink)

Psychoanalysis, particularly as articulated by figures like Freud and Lacan, highlights the inherent division within the human subject—a schism between the conscious and unconscious mind. It could be said that this suggests that such an internal division becomes amplified in the context of generative art, where technology and algorithms are used to generate artistic expressions that are meant to emerge from the depths of the unconscious. Here, we encounter the tension between the conscious artist and the generative process itself, (...) which may yield unexpected, even uncontrollable results. -/- This paper, therefore, seeks to address this division within the modern subject and its relationship to technology, wherein the division within the living body is revealed through the presence of prosthetic elements, which mirrors the division brought about by the incorporation of language as a signifier. I argue that the amplification of this internal schism does not necessarily lead to a more fractured subject. Instead, generative art, bolstered by advancements in AI and machine learning, offers a unique opportunity for individuals to externalize and explore their minds in novel ways. -/- By examining contemporary works such as Hal Foster’s Prosthetic Gods, which stands as a pivotal exploration of the convergence between modernist art and psychoanalytic theory and Isabel Millar’s Psychoanalysis of Artificial Intelligence, this paper elucidates the profound implications of Freud’s vision of modern -/- subjectivity as Prothesengott (Prosthetic God) and address the questions concerning this technological imbrication of the human mind and body through the Lacanian framework. Although for Freud, Man does not become a real God, rather, the potential to transcend one’s limitations ascribes us to God-like qualities by seeking to generate new forms of life that go beyond merely reproducing nature — a transcention of the natural. Millar emphasizes that Freud observes that this is evidenced by the fact that these additional organs remain distinct from the organism and can never assimilate into it. One continually falls short of realizing the fantasy he envisions, opting instead to use his supplementary artificial organs to endlessly revolve around the objects of the drive. -/- This evolving relationship that the drive has with its technological objects, resounds in Lacan’s conception of “lathouse” which allows extimate objects to convert interiority (unconscious) into exteriority (conscious) and exteriority into interiority. The thesis of this paper seeks to employ this underutilized concept to understand the nature of human subjectivity and its bodily and structural relationship to generative art. Therefore, this paper emphasizes what really happens when we enter into this relationship with the lathouse, whereby this artificial object has effects in the "real of jouissance", where these Lathouses create a network, namely the Alethosphere. My goal is to argue that generative art as a technological development, can be seen as an extension to the development of the drive. Conclusively, I make the claim for generative art's potential to externalize the human creative drive by emphasizing the interplay between randomness and structure, and how it offers a means to surpass our inherent limitations by presenting an avenue for self-expression that transcends traditional modes of art. (shrink)

A growing body of recent work in informal logic investigates the process of argumentation. Among other things, this work focuses on the ways in which individuals attempt to understand written or verbalised arguments in light of the fact that these are often presented in forms that are incomplete and unmarked. One of its aims is to develop general procedures for natural language argument recognition and reconstruction. Our aim here is to draw on this growing body of knowledge in (...) informal logic in order to take preliminary steps towards developing an architecture for computer systems that are able to recognise and reconstruct natural language arguments. This architecture aims to structure research of an applied and computational nature that strives to implement linguistic systems of various sorts, and to analyse problems in a way that both yields manageable and relatively independent components and also highlights how implementations can interact with existing resources from natural language processing. (shrink)

This third paper locates the synthetic neurorobotics research reviewed in the second paper in terms of themes introduced in the first paper. It begins with biological non-reductionism as understood by Searle. It emphasizes the role of synthetic neurorobotics studies in accessing the dynamic structure essential to consciousness with a focus on system criticality and self, develops a distinction between simulated and formal consciousness based on this emphasis, reviews Tani and colleagues' work in light of this distinction, and ends by forecasting (...) the increasing importance of synthetic neurorobotics studies for cognitive science and philosophy of mind going forward, finally in regards to most- and myth-consciousness. (shrink)

This article investigates the profound mysteries of consciousness and the afterlife, which have captivated humanity for centuries. In our study, we conducted three hypothetical experiments, assuming all participants had healthy brains and minds in similar environments. We based our methodology on the premise that cell death can preserve anatomical and neural integrity (Vrselja et al., 2019). Between T1 and T2, six brains were rendered non-functional (brain death), eliminating consciousness. Participants were divided into three groups: -/- 1. Identical Triplets (Group I): (...) Individuals 'a,' 'b,' and 'c.' 2. Second Set of Identical Triplets (Group II): Individuals 'd,' 'e,' and 'f.' 3. Non-identical Triplets (Group III): Individuals 'g,' 'h,' and 'i.' -/- Uniform conditions were maintained across all groups, ensuring identical nutrients and processes. In the third experiment, we preserved the inactive brains of 'a,' 'b,' 'd,' 'e,' 'g,' and 'h' from **T1** to **T2** and created three new identical brains for each participant, resulting in twenty-seven new brains labeled ('a1' to 'i3'). The original six brains were revived, leading to a total of thirty-six participant brains in the lab. -/- Results -/- If our third experiment holds validity, it suggests that all twenty-seven artificially created brains and the revived six brains could function, resulting in thirty-six operational brains at T2. This includes the three live brains of 'c,' 'f,' and 'i.' -/- Discussion -/- Determining whose consciousness resides within the lab is practically impossible, except for 'c,' 'f,' and 'i.' For instance, if you are 'a' before *T1*, identifying which of the eleven identical brains ('a', 'a1', 'a2', 'a3', etc.) contains your consciousness at *T2* is challenging. Assuming your consciousness exists in all eleven brains post *T1* raises critical questions: Did your singular consciousness cease to exist, or did it transfer to a specific brain outside the lab? This dilemma highlights profound implications for our understanding of consciousness and identity. -/- Conclusion -/- If your existence ceased (no afterlife- discontinued 'your'-'a'- consciousness-) at T1, theoretically, "you (a)" could reappear ( at T2 ) in two or more identical brains, in the laboratory setting. However, as extensively discussed in this research, a single consciousness can't exist in multiple brains simultaneously. While there may be two, many, or even infinite identical brains in the universe/s, no one experiences( 'feel-aware' ) their consciousness in multiple places simultaneously. Although, the brain's quality and quantity continually change over time—encompassing aspects such as neurons, neurochemistry, and the biophysics of brain function—unique consciousness persists from childhood to death within a single brain. The hypothesis concerning the continuum of unique consciousness within the dynamic framework of the material brain presents a complex enigma. It posits that two unknown fundamental particles—one universally unique ( to a certain brain) and invariant and the other subject to continuous evolution—coexist within the brain throughout its functional lifespan. This coexistence may elucidate the mechanisms underlying consciousness and its persistence, despite the brain's ongoing structural and functional transformations. This simple reasoning strongly supports the high probability of life ('your' -' a') after death occurring in a single brain at T1,( outside the lab) without any passage of time. (shrink)

Consciousness may not only be a problem how to know the brain but also a problem how to understand what known. Understanding is always an ontological system created as the explanation of what known by us. And, if all brains, including human brains, may be defined as the mind, consciousness must be part of our understanding of the mind. The author argues that no mind may exist if not be a life or lives, no life may exist (...) if not be a mind or a part of it, and, if it is the mind that needs to be explained, it must finally and fundamentally be explained as a life or a living system. An ontological definition of life is proposed first in this article, which is also applicable to fields such as physics, biology, psychology, and sociology. Based on an analysis of two kinds of lives and their relationship with matter and energy, a living system is modeled as the organization of two system relations, which explains not only consciousness but also wakefulness, emotion, intelligence, language and mind-body relationship. And finally, a semantic theory is reached, which takes lives as the only meaning of all symmetrical and conservative changes, such as the location changes or form changes of consciousness, or the state changes of memories. The concept of life, the model of living systems and the semantic theory together provide a framework for us to understand what and how consciousness is, why there is consciousness, where and when consciousness occurs. (shrink)

Ideas about human consciousness and mental functions will be analyzed and developed using cognitive science information available in the Upanishads, Brahmajnaana, Advaita and Dvaita schools of thought. -/- The analysis and development so done will be used to theorize and give scheme of human language acquisition and communication process clubbing with Sabdabrahma Siddhanta/Sphota Vaada which put forward infrasonic wave oscillator issuing pulses in infrasonic range and are reflected as brain waves. -/- Thus a brain-wave modulation/demodulation model of human (...) language acquisition and communication will be advanced and put forward. Application of this study in mind-machine modeling, natural language comprehension field of artificial intelligence will also be hinted. -/- . (shrink)

In _The Origin of Consciousness in the Breakdown of the Bicameral Mind_, Julian Jaynes presents a philosophy of mind with radical implications for contemporary discussions about artificial intelligence (AI). The ability of AI to replicate the cognitive functions of human consciousness has led to widespread speculation that AI is itself conscious (or will eventually become so). Against this functionalist theory of mind, Jaynes argues that consciousness only arises through the mythopoetic inspiration of metaphorical language. Consciousness develops (...) and enacts new forms of self-understanding, continually evolving new "metaphors of mind," metaphors which must now account for the emergence of AI. (shrink)

The recent developments in artificial intelligence (AI), particularly in light of the impressive capabilities of transformer-based Large Language Models (LLMs), have reignited the discussion in cognitive science regarding whether computational devices could possess semantic understanding or whether they are merely mimicking human intelligence. Recent research has highlighted limitations in LLMs’ reasoning, suggesting that the gap between mere symbol manipulation (syntax) and deeper understanding (semantics) remains wide open. While LLMs overcome certain aspects of the symbol grounding problem through (...) human feedback, they still lack true semantic understanding, struggling with common-sense reasoning and abstract thinking. This paper argues that while adding sensory inputs and embodying AI through sensorimotor integration with the environment might enhance its ability to connect symbols to real-world meaning, this alone would not close the gap between syntax and semantics. True meaning-making also requires a connection to subjective experience, which current AI lacks. The path to AGI must address the fundamental relationship between symbol manipulation, data processing, pattern matching, and probabilistic best guesses with true knowledge that requires conscious experience. A transition from AI to AGI can occur only if it possesses conscious experience, which is closely tied to semantic understanding. Recognition of this connection could furnish new philosophical insights into longstanding practical and philosophical questions for theories in biology and cognitive science and provide more meaningful tests of intelligence than the Turing test. (shrink)