Introduction: This article discusses the brain hierarchical organization/evolution as a consequence of the information-induced brain development, from the perspective of the Informational Model of Consciousness. Analysis: In the frame of the Informational Model of Consciousness, a detailed info-neural analysis ispresented, concerning the specific properties/functions of the informational system of the human body composed by the Center of Acquisition and Storing of Information, Center of Decision and Command, Info-Emotional Center, Maintenance Informational System, Genetic Transmission System, Info Genetic (...) Generator and Info- Connection center, in relation with the neuro-connected brain areas, with a special attention to the Info-Connection and its specific properties. Besides a meticulous analysis of the info-connections/neuro-functions of these centers, a special attention was paid to limbic/cingulate cortex activities. Defined as a trust/confidence center, additional features are highlighted in correlation with the activity of the anterior cingulate cortex, consisting in the intervention/moderation of amygdala emotional signals, conflicting opposite YES/NO data and error elimination in the favor of the organism adaptation/survival, the intervention in the certainty/uncertainty balance to select a suitable pro-life information (antientropic effect), in moderation of pain and in the stimulation of the empathic inter-human relations/communication. Representing the correspondence between the informational subsystems and the brain area map, itis shown that the up/down integration of information by epigenetic mechanisms and the down/ up evolution are correlated. Results: The analysis of the functions of the anterior cingulate opens new gates of investigations concerning the involved intimate mechanisms at the level of cell microstructure, specifically on the compatibility with quantum assisted processes admitted by the Informational Model of Consciousness and the quantum-based models The discussion on the information integration/codification by epigenetic mechanisms shows that this process starts from the superior levels of brain conscious info-processing areas and progressively advances to the automatic/autonomic inferior levels ofthe informational system, under insistent/repetitive cues/stress conditions, pointing out an hierarchical functional/anatomical structure of the brain organization. Additional arguments are discussed, indicating thatthe down/up progressive scale representation is a suggestive illustration of the brain evolution, induced/assisted/determined by information, accelerated at humans by the antientropic functions of the Info-Connection center. Conclusions: The hierarchical organization of the brain is a consequence of the integration process of information, defining its development accordingly to the adaptation requirements for survival during successive evolution stages of the organism, information playing a determinant/key role. (shrink)

Evolutionary theory usually neglects two variables: the changes induced in the environment by the evolving organism, and individual uniqueness in sexually reproducing species. In order to fuel its maintenance and reproduction, an organism must average a positive net energy balance vis-a-v}s its environment. It achieves this via aptations, which consist of information (i.e., the internalization of all that is predictable about the environment, including the machinery to take advantage of this information) and stored energy (to operate the (...) machinery, including a safety margin to deal with events that are unpredictable in principle). Taking advantage of a prediction, however, interferes with what has been predicted; each adaptation by the organism therefore changes its environmental target. Today's organism is adapted to yesterday's environment, and today's predator inherits yesterday's prey image. This paper attempts to show that, over evolutionary time, the persistence of this asymmetric, time-lagged relationship is owed increasingly to genetically unique individuals. Individual uniqueness as resulting from sexual reproduction is janusfaced. It endows an evolving population with both a forward-looking (promethean) and backward-looking (protean) feature. A population made up of genetically unique individuals is promethean (creative) in its ability to exploit non-homogeneous resources and respond serendipitously to environmental change via new genotypes; it is protean (elusive) in presenting a pursuer (predator or parasite) with a scattered target. Furthermore, because of the asymmetry between the winnowing of the target gene pool by the pursuer, and the genetic fixation in the pursuer of an outdated target image, the target keeps evolving away from the pursuer at a speed and in a direction that are a function of the pursuer's success. This mechanism ensures an evolutionary time lag be102 W. Sterrer tween pursuer and target, which explains escalation, the stability of asymmetric coevolutionary systems such as the life/dinner principle, and the pervasiveness of the Red Queen effect. Individuality thus both promotes and retards the speed of evolution. Having probably originated simultaneously with predation, sex-generated individuality is a self-accelerating evolutionary process that may account for much of today's organismic and environmental complexity. (shrink)

Starting from the observation of the binary character YES/NOT of our decisions in relation to the information received from the environment, determining both our life and specie evolution by adaptation, it is defined the info-creational field and thought as an information operator on this field, allowing to describe the individual EGO as a receiver and producer information system, based on an operational and a programmed informational subsystem. Consciousness appears thus be an integrated information system which (...) allows the adaptation to the environment and survival of specie, supported by informed matter (physical body) to maintain functionality of the whole. On this basis, there were identified two main informational circuits of the human body controlled by the consciousness: (i) the attitude as a short-time reaction circuit allowing the immediate adaptation to the environment; (ii) the informational genetic transmission as a large-time process assuring both the evolution by the transference of the new adaptation characteristics to the next generations and the survival of the specie. Observing the anti-entropic nature of the information activity mobilized to support the living structure, there were identified the anti-entropic, antigravitational and reverse temporal arrow features that the thought could access under special focusing conditions, similar to those of antimatter, explaining the paranormal capacities like premonition, psychotherapy, telekinesis and levitation, particularly the cloud dissipation, induced/supported by the mind power. (shrink)

Space tourism is an emerging field where few people have direct experience. However, considering the potential in the near future, it is beneficial to better understand how related information influences people’s attitudes about this new form of tourism. Employing information-processing-based Bayesian Mindsponge Framework (BMF) analytics on a dataset of 361 respondents consuming content related to space tourism on Chinese social media, we found that induced happiness and impression are positively associated with willingness to try space tourism. (...) class='Hi'>Information authenticity positively moderates these two associations. Our findings emphasize three aspects of information during the processes of reception and filtering: meaning, intensity, and trust. Since promotional materials for space tourism rely heavily on mental simulations rather than objective feedback, creative uses of digital technology are advantageous. However, precautions must be taken to prevent exploitation, such as false advertising, exaggeration, and emotional manipulation. (shrink)

Information Theory, Evolution and The Origin ofLife: The Origin and Evolution of Life as a Digital Message: How Life Resembles a Computer, Second Edition. Hu- bert P. Yockey, 2005, Cambridge University Press, Cambridge: 400 pages, index; hardcover, US $60.00; ISBN: 0-521-80293-8. The reason that there are principles of biology that cannot be derived from the laws of physics and chemistry lies simply in the fact that the genetic information content of the genome for constructing even the (...) simplest organisms is much larger than the information content of these laws. Yockey in his previous book (1992, 335) In this new book, Information Theory, Evolution and The Origin ofLife, Hubert Yockey points out that the digital, segregated, and linear character of the genetic information system has a fundamental significance. If inheritance would blend and not segregate, Darwinian evolution would not occur. If inheritance would be analog, instead of digital, evolution would be also impossible, because it would be impossible to remove the effect of noise. In this way, life is guided by information, and so information is a central concept in molecular biology. The author presents a picture of how the main concepts of the genetic code were developed. He was able to show that despite Francis Crick's belief that the Central Dogma is only a hypothesis, the Central Dogma of Francis Crick is a mathematical consequence of the redundant nature of the genetic code. The redundancy arises from the fact that the DNA and mRNA alphabet is formed by triplets of 4 nucleotides, and so the number of letters (triplets) is 64, whereas the proteome alphabet has only 20 letters (20 amino acids), and so the translation from the larger alphabet to the smaller one is necessarily redundant. Except for Tryptohan and Methionine, all amino acids are coded by more than one triplet, therefore, it is undecidable which source code letter was actually sent from mRNA. This proof has a corollary telling that there are no such mathematical constraints for protein-protein communication. With this clarification, Yockey contributes to diminishing the widespread confusion related to such a central concept like the Central Dogma. Thus the Central Dogma prohibits the origin of life "proteins first." Proteins can not be generated by "self-organization." Understanding this property of the Central Dogma will have a serious impact on research on the origin of life. (shrink)

It is pretty obvious that language and human consciousness entertain tight relations. We could not really be conscious of ourselves without the possibility to say “I” or “me”. And language is a key contributor in our capability to identify ourselves as conscious entities existing in the environment. But the relations linking language and consciousness are complex and difficult to analyze. Evolutionary origins of language are unknown as no fossil traces have been left by our ancestors. Sciences of consciousness however begin (...) to make available some possible evolutionary scenarios about the nature of human consciousness. We want here to propose a link between language and consciousness by using such an evolutionary scenario and also introduce the usage of a systemic approach to meaning generation. In the first part of the presentation we will use an existing scenario about the evolutionary nature of self-consciousness where the development of language has a role (1). We will highlight this role in order to identify language and self-consciousness as inter-dependant in their nature through a possible common evolutionary origin. Self-consciousness and language could then be considered as tightly inter-dependant through a common build up of human nature during evolution. The scenario presents an evolutionary nature of self-consciousness as resulting of the capability for pre-human primates to identify with their conspecifics (1, 2). The conspecifics are represented as existing in the environment, and such identification brought our pre-human ancestors to consider themselves as also existing in the environment. The scenario takes this event as being a first step for a conscious self-representation within pre-human primates, which progressively evolved toward our today human consciousness (3). But such identification with conspecifics was not for free at times of survival of the fittest. Identifying with conspecifics meant for our pre-human ancestor to also identify with their sufferings or encountered dangers. These came in addition to the dangers or sufferings naturally encountered and created a significant anxiety increase (1). The resulting level of anxiety had to be limited. One possibility for that was to develop psychological or physical tools that could have reduced the risks of occurrences and developments of such dangers and sufferings. Among these tools is the performance of language which can induce significant evolutionary advantages. We will propose a first scheme about how these evolutionary advantages could have reduced the dangers and sufferings encountered by our pre-human ancestors. We will also show how the development of language produced by itself a positive feedback on the development of inter-subjectivity in the evolutionary scenario, and so participated directly to the development of human consciousness. Other evolutionary advantages have existed like the development of imitation and synergy through experience (4). Language played a role there also, and has to be taken into account. The second part of the presentation will propose the usage of an existing systemic approach to meaning generation in terms of constraints satisfaction (5, 6). Constraints for pre-human primates, ranging from a basic “stay alive” to highly elaborated “limit anxiety”, were source of multiple meaning generations in which language has played (and still plays) a key role. Several continuations will be proposed linked to the here above thread on a co-evolutions of language and human consciousness, as based on the evolutionary scenario. (shrink)

Introduction: the objective of this investigation is to analyses the advances of understanding in the epigenetic processes and to extract conclusions concerning the information-based evolution from the perspective of the Informational Model of Consciousness (IMC). Analysis of epigenetic mechanisms: it is shown that the study of the epigenetic mechanisms are of increasing interest not only to discover the responsible mechanisms of some diseases, but also to observe the acquisition and transmission mechanisms of some traits to the next generation/ (...) transgenerations, without affecting the DNA sequences. These advances were especially supported by the spectacular progresses in the high technological tools like digital microfluidic techniques and semiconductor-based detection systems, allowing to apply sequencing methods of DNA and to observe its structural modifications. The specific typical steps of the epigenetic mechanisms are analysed, showing that these mechanisms could be fully described in terms of information, as signal transmission agents embodying or disembodying information in three different stages and under specific conditions, including especially the signal persistence as a main conditional epigenetic factor. Results concerning the information-assisted evolution from the perspective of IMC: the epigenetic mechanisms are discussed as a function of each component of the informational system of the organism, consisting in memory, decisional operability, emotional reactivity, metabolic driving processes, genetic transmission, genetic info-generator and the info-connection explaining the special extra-power properties of the mind. It is shown that the epigenetic mechanisms could be related to the specific functions of each informational component, mainly exhibiting five levels of integration of information as matter-related information, culminating with the stable integration in the procreation cells and transmission to the next generation. The results were extended to explain the transgenerational adaptive processes of isolated population groups. Conclusion: the epigenetic mechanisms discussed within IMC allow to understand the transgenerational adaptation as an information-assisted proces. (shrink)

Art museums are built to elicit a wide variety of feelings, emotions, and moods from their visitors. While these effects are primarily achieved through the artworks on display, museums commonly deploy numerous other affect-inducing resources as well, including architectural solutions, audio guides, lighting fixtures, and informational texts. Art museums can thus be regarded as spaces that are designed to influence affective experiencing through multiple structures and mechanisms. At face value, this may seem like a somewhat self-evident and trivial statement to (...) make. However, in this article, I argue that niche construction theory enables us to make several illuminating observations about the ways in which art museums are engineered to influence our feelings. To expound on this claim, I single out for discussion the Museum of Non-Objective Painting, which for its entire lifespan (1939–52)—and prior to its evolution into the Solomon R. Guggenheim Museum—was expressly organized to kindle in its visitors a special, spiritual form of aesthetic experience: a liberating feeling of cosmic rhythm and order, no less. -/- The argument will proceed as follows: In Part 1, I introduce the basics of niche construction theory and specify the sense in which I apply it to museums and aesthetic affective experiencing. In Part 2, I outline the origins and ethos of the Museum of Non-Objective Painting, after which I pin down the type of affective experience it fostered by drawing from visitors’ self-reported reactions to the artworks on display. Then, in Part 3, I use niche construction theory to explain how the Museum consciously fashioned itself, by means of various mutually supportive resources and technologies, into a fertile setting for the specified feelings. Finally, in Part 4, I extend beyond the discussed case to assess the implications of niche construction theory for a broader understanding of how art museums make us feel. In other words, by tracing the early steps of the Museum of Non-Objective Painting towards the present-day Guggenheim, I call attention to the general variation in affective niches as regards their structure, technologies, and affective aims. Overall, the article elucidates the functioning of art museums as affective niches and furthers the conceptual development of niche construction theory in aesthetics. (shrink)

The Unified Theory of Free Will: The Three Universal Laws, Systemic Imbalance, and Nature’s Self-Correction -/- By Angelito Malicse -/- Introduction -/- For centuries, the concept of free will has been debated, with perspectives ranging from determinism to compatibilism and libertarianism. However, these traditional views fail to acknowledge the natural laws that govern human decision-making. By synthesizing the Universal Law of Balance in Nature, the Universal Feedback Loop Mechanism, and the Error-Free System, we establish a unified theory of free will—a (...) structured approach to human choices within the constraints of natural order. -/- Additionally, it is crucial to recognize the tolerance limits of hierarchical systems—both natural and man-made. When human decisions exceed these limits and imbalances persist, nature will automatically step in to restore equilibrium. This natural correction often manifests in disruptive ways, such as natural disasters, economic collapses, or social upheavals. Understanding these dynamics is essential to ensuring stability across all systems. -/- Furthermore, human emotions, which have evolved as essential survival mechanisms, play a dual role in maintaining or disrupting balance. Emotions influence decision-making, motivation, and social interactions. When properly regulated, they help individuals and societies adapt to challenges and maintain systemic harmony. However, when emotions exceed their tolerance limits—such as excessive fear leading to panic or unchecked anger causing conflict—they contribute to systemic imbalance and dysfunction. -/- The Three Universal Laws and Their Role in Decision-Making -/- 1. Universal Law of Balance in Nature -/- Every system—biological, social, and technological—operates within specific tolerance limits. Decisions that align with natural balance maintain stability, while those that exceed these limits lead to disruption. If humans fail to correct imbalances, nature will forcefully restore equilibrium, often through unpredictable and catastrophic means. -/- Examples of Balance, Systemic Imbalance, and Natural Correction: -/- Personal Health: A balanced diet sustains physical well-being, while excessive consumption leads to obesity and related diseases. If ignored, the body self-corrects through metabolic disorders and immune system responses. -/- Economic Stability: A balanced economy fosters growth, while financial mismanagement leads to economic crashes. Recessions and inflation serve as corrective mechanisms for financial excesses. -/- Environmental Sustainability: Responsible resource management ensures long-term survival, whereas overexploitation leads to climate change and natural disasters such as droughts and hurricanes, which force societies to adapt. -/- Ecosystem Regulation: Overfishing disrupts marine populations, but nature counters with species migration and ecological shifts that eventually restore stability. -/- Energy Consumption: Overuse of fossil fuels accelerates climate change, prompting extreme weather events and necessitating the shift to renewable energy sources. -/- 2. Universal Feedback Loop Mechanism -/- Decision-making must incorporate continuous feedback to ensure adaptation and refinement. Ignoring or distorting feedback results in inefficiencies and systemic collapse. -/- Examples of Feedback, Systemic Imbalance, and Nature’s Response: -/- Business Adaptation: Companies that respond to consumer feedback thrive, while those that ignore it collapse due to declining market relevance. -/- Political Governance: Leaders who suppress public concerns foster unrest, often leading to revolutions or government overhauls. -/- Technological Development: AI systems trained on biased or incomplete data develop flawed decision-making patterns, necessitating retraining and regulation. -/- 3. Error-Free System -/- Every decision has consequences, and ensuring 100 percent correct information is essential to maintaining systemic balance. Errors in data, assumptions, or implementation can trigger unintended disruptions. -/- Examples of Cause and Effect, Misinformation, and Systemic Collapse: -/- Academic Success: Proper study methods enhance learning, while reliance on ineffective strategies results in poor educational outcomes. -/- Industrialization and Environmental Impact: Sustainable practices protect ecosystems, while reliance on false environmental data accelerates degradation. -/- Global Resource Consumption: Inaccurate assessments of resource availability lead to economic and geopolitical instability. -/- The Evolution and Purpose of the Duality of Human Emotions -/- Human emotions have evolved as critical mechanisms for survival, adaptation, and social cohesion. They function as regulatory signals that guide decision-making, helping individuals and societies maintain equilibrium. However, emotions also possess a dual nature, where their misalignment or overexpression can lead to instability and dysfunction. -/- Positive Role of Emotions in Systemic Balance: -/- Empathy and Cooperation: Emotions such as compassion and trust foster social cohesion, strengthening communities and enhancing cooperation. -/- Fear and Caution: A moderate level of fear helps individuals assess risks and avoid dangerous situations, ensuring personal and collective safety. -/- Motivation and Ambition: Positive emotions such as enthusiasm and joy drive personal growth, innovation, and societal progress. -/- Negative Role of Emotions in Systemic Imbalance: -/- Excessive Fear and Panic: When fear surpasses a system’s tolerance limit, it leads to irrational decision-making, paranoia, and social instability. -/- Unchecked Anger and Conflict: Intense anger without regulation contributes to violence, political unrest, and societal fragmentation. -/- Despair and Apathy: Chronic negative emotions, such as depression and hopelessness, reduce individual productivity and can weaken societal resilience. -/- Examples of Emotional Duality in Decision-Making: -/- Public Health Responses: Balanced fear leads to precautionary health measures, while excessive panic results in chaos (e.g., misinformation-fueled reactions during pandemics). -/- Leadership and Governance: A compassionate leader fosters unity, while an authoritarian leader driven by anger and paranoia destabilizes societies. -/- Market Behavior: Optimistic investors drive economic growth, while fear-driven panic selling causes financial crashes. -/- Effects of Systemic Imbalances and Nature’s Automatic Correction -/- When human decisions disrupt equilibrium and corrective actions are not taken, nature enforces balance through forceful interventions. -/- Examples of Human-Induced Imbalances and Nature’s Response: -/- Healthcare Systems: Overuse of antibiotics results in drug-resistant bacteria, increasing disease severity and forcing new medical advancements. -/- Economic Systems: Financial bubbles burst, leading to recessions that correct speculative excesses. -/- Political Systems: Corrupt governance leads to revolutions, shifts in power, and societal restructuring. -/- Environmental Systems: Deforestation causes soil erosion and desertification, forcing human migrations and altering agriculture. -/- Overpopulation: Excessive growth strains resources, leading to food shortages, pandemics, and natural events that regulate population levels. -/- Urban Expansion: Overcrowding leads to declining infrastructure, pollution, and social conflicts, often prompting mass relocations and policy reforms. -/- Conclusion -/- Free will is not an arbitrary concept but a structured system governed by natural laws. By understanding the Universal Law of Balance in Nature, the Universal Feedback Loop Mechanism, and the Error-Free System, we can align human decisions with nature’s equilibrium. -/- Additionally, recognizing the evolution and duality of human emotions is essential for maintaining stability in personal and societal decision-making. If humanity fails to correct imbalances, nature will automatically restore equilibrium, often in ways that are catastrophic and beyond human control. -/- By integrating these principles into education, governance, and AI development, we pave the way for a rational, ethical, and self-correcting society. -/- . (shrink)

Informational Evolution and Multidimensional Systems This text proposes a multidimensional framework for understanding evolution, human systems, and existence itself through the lens of information theory. Key insights address the following questions: 1. How does evolution extend beyond genetic mechanisms? Evolution operates through four interconnected dimensions: genetic, epigenetic (heritable gene expression changes), behavioral (learned practices), and symbolic (language, culture). These channels interact reciprocally, enabling organisms to reshape environments, which in turn influence selection pressures. This expanded view (...) challenges gene-centric models, emphasizing developmental plasticity, niche construction, and cultural inheritance as co-drivers of adaptation. 2. What forces govern human institutions? Human systems—from nations to online communities—are shaped by three axes: - Freedom: The range of choices and autonomy available, analogous to evolutionary variation. - Power: The distribution of control, determining which ideas/behaviors thrive (akin to selection). - Resources: Material and informational constraints that enable or limit growth. These dimensions create feedback loops: resource distribution affects power dynamics, while power structures constrain or enable freedom. 3. Why do individuals tolerate suboptimal systems? Institutional resilience arises from exit barriers (material, social, or cognitive costs of leaving), loss aversion (preference for stability over uncertain change), and loyalty (identity-based commitment). Systems persist not because they are optimal but due to path dependence, vested interests, and narratives that legitimize their existence. 4. How do language and culture shape systemic participation? Language and embodied cognition act as filters, structuring perception and framing possibilities. Cultural narratives (e.g., meritocracy, market logic) normalize systemic norms, while metaphors rooted in bodily experience (e.g., “power hierarchies”) unconsciously guide reasoning. These filters constrain innovation by rendering alternatives inconceivable or illegitimate. 5. How do humans and institutions co-evolve? Through niche construction, humans create environments (e.g., cities, technologies) that alter selection pressures, driving genetic, cognitive, and cultural adaptations. Conversely, institutions evolve via feedback from human behavior—a dynamic termed gene-culture coevolution. For example, dairy farming selected for lactase persistence, while digital tools now reshape cognition and social dynamics. 6. What is the fundamental nature of existence? Reality is understood as a series of informational processes: biology operates like culture, functioning as individual and collective software programs based on rules—such as those of evolutionary theory—and consciousness acts as driver and an observer of the interface, perceiving a portion of symbolic codes as information. Physical laws, genetic constraints, and cultural norms constitute “syntax” governing these processes. Evolution and societal change are thus akin to iterative code revisions, constrained by logical consistency and historical paths. -/- Implications: This framework integrates biological, cultural, and cognitive evolution into a unified theory of information. It suggests that addressing global challenges—from inequality to ecological crises—requires debugging systemic “code” by reshaping narratives, redistributing resources, and leveraging co-evolutionary feedback. Existence, as a self-writing informational text, positions humans as both products and authors of evolutionary dynamics. (shrink)

Cultural evolution is normally framed in informational terms. However, it is not clear whether this is an adequate way to model cultural evolutionary phenomena and what, precisely, “information” is supposed to mean in this context. Would cultural evolutionary theory benefit from a well-developed theory of cultural information? The prevailing sentiment is that, in contradistinction to biology, informational language should be used nontechnically in this context for descriptive, but not explanatory, purposes. Against this view, this article makes the (...) case for the need to take a proper biology-based “informational turn” in the cultural evolutionary sciences. I argue that the current vague use of informational language misses out on the potential benefits for advancing understanding of phenomena that information-theoretic reasoning has provided in other sciences, especially genetics. In particular, by emphasizing the informational aspects of cultural evolutionary processes, this approach can clarify some conceptual and methodological problems that have plagued cultural evolutionary theory since its inception, including (1) how to determine the channel conditions of cultural information flow, (2) the nature and scope of cultural information, and (3) how to quantify trends of cultural cumulation. More generally, theories of cultural evolution will be incomplete until the mechanisms underlying cultural processes are better understood and integrated into the explanations. This article explores the adequacy of an information-theoretic framework to accomplish these purposes. (shrink)

Darwinian evolutionary theory has two key terms, variations and biological selection, which finally lead to survival of the fittest variant. With the rise of molecular genetics, variations were explained as results of error replications out of the genetic master templates. For more than half a century, it has been accepted that new genetic information is mostly derived from random error-based events. But the error replication narrative has problems explaining the sudden emergence of new species, new phenotypic traits, and genome (...) innovations as a sudden single event. Meanwhile, it is recognized that errors cannot explain the evolution of genetic information, genetic novelty, and complexity. Now, empirical evidence establishes the crucial role of non-random genetic content editors, such as viruses, diversity generating retroelements, and other RNA networks, to produce new genetic information, complex regulatory control, inheritance vectors, genetic identity, immunity, new sequence space, evolution of complex organisms, and evolutionary transitions. (shrink)

The idea that development is the expression of information accumulated during evolution and that heredity is the transmission of this information is surprisingly hard to cash out in strict, scientific terms. This paper seeks to do so using the sense of information introduced by Francis Crick in his sequence hypothesis and central dogma of molecular biology. It focuses on Crick's idea of precise determination. This is analysed using an information-theoretic measure of causal specificity. This allows (...) us to reconstruct some of Crick's claims about information in transcription and translation. Crick's approach to information has natural extensions to non-coding regions of DNA, to epigenetic marks, and to the genetic or environmental upstream causes of those epigenetic marks. Epigenetic information cannot be reduced to genetic information. The existence of biological information in epigenetic and exogenetic factors is relevant to evolution as well as to development. (shrink)

The study of cultural evolution has taken on an increasingly interdisciplinary and diverse approach in explicating phenomena of cultural transmission and adoptions. Inspired by this computational movement, this study uses Bayesian networks analysis, combining both the frequentist and the Hamiltonian Markov chain Monte Carlo (MCMC) approach, to investigate the highly representative elements in the cultural evolution of a Vietnamese city’s architecture in the early 20th century. With a focus on the façade design of 68 old houses in Hanoi’s (...) Old Quarter (based on 78 data lines extracted from 248 photos), the study argues that it is plausible to look at the aesthetics, architecture, and designs of the house façade to find traces of cultural evolution in Vietnam, which went through more than six decades of French colonization and centuries of sociocultural influence from China. The in-depth technical analysis, though refuting the presumed model on the probabilistic dependency among the variables, yields several results, the most notable of which is the strong influence of Buddhism over the decorations of the house façade. Particularly, in the top 5 networks with the best Bayesian Information Criterion (BIC) scores and p<0.05, the variable for decorations (DC) always has a direct probabilistic dependency on the variable B for Buddhism. The paper then checks the robustness of these models using Hamiltonian MCMC method and find the posterior distributions of the models’ coefficients all satisfy the technical requirement. Finally, this study suggests integrating Bayesian statistics in the social sciences in general and for the study of cultural evolution and architectural transformation in particular. (shrink)

A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and objective functions. Coincidentally, EMI is essentially the same as Semantic Mutual Information (SeMI) proposed by the author 30 years ago. This paper first reviews the evolutionary histories of semantic information measures and learning functions. Then, it briefly introduces the author’s (...) semantic information G theory with the rate-fidelity function R(G) (G denotes SeMI, and R(G) extends R(D)) and its applications to multi-label learning, the maximum Mutual Information (MI) classification, and mixture models. Then it discusses how we should understand the relationship between SeMI and Shannon’s MI, two generalized entropies (fuzzy entropy and coverage entropy), Autoencoders, Gibbs distributions, and partition functions from the perspective of the R(G) function or the G theory. An important conclusion is that mixture models and Restricted Boltzmann Machines converge because SeMI is maximized, and Shannon’s MI is minimized, making information efficiency G/R close to 1. A potential opportunity is to simplify deep learning by using Gaussian channel mixture models for pre-training deep neural networks’ latent layers without considering gradients. It also discusses how the SeMI measure is used as the reward function (reflecting purposiveness) for reinforcement learning. The G theory helps interpret deep learning but is far from enough. Combining semantic information theory and deep learning will accelerate their development. (shrink)

Sometimes subjects have sufficient internal and external resources to retrieve information stored in memory, in particular information that carries socially charged content. Yet, they fail to do so: they forget it. These cases pose an explanatory challenge to common explanations of forgetting in cognitive science. In this paper, I take this challenge and develop a new explanation of these cases. According to this explanation, these cases are best explained as cases of norm-induced forgetting: cases in which forgetting (...) is caused by social norms in a relevant sense. These cases draw attention to the normative aspects of the mechanisms of forgetting. This is an important but neglected aspect of cases of everyday forgetting, in particular of those characterized by a social dimension. By investigating some ways in which the psychology of social norms is causally relevant in the mechanisms of retrieval failure, I begin to fill this gap. (shrink)

The natural evolution of consciousness in different animal species mandates that conscious experiences are causally potent in order to confer any advantage in the struggle for survival. Any endeavor to construct a physical theory of consciousness based on emergence within the framework of classical physics, however, leads to causally impotent conscious experiences in direct contradiction to evolutionary theory since epiphenomenal consciousness cannot evolve through natural selection. Here, we review recent theoretical advances in describing sentience and free will as fundamental (...) aspects of reality granted by quantum physical laws. Modern quantum information theory considers quantum states as a physical resource that endows quantum systems with the capacity to perform physical tasks that are classically impossible. Reductive identification of conscious experiences with the quantum information comprised in quantum brain states allows for causally potent consciousness that is capable of performing genuine choices for future courses of physical action. The consequent evolution of brain cortical networks contributes to increased computational power, memory capacity, and cognitive intelligence of the living organisms. (shrink)

Behavioural flexibility is often treated as the gold standard of evidence for more sophisticated or complex forms of animal cognition, such as planning, metacognition and mindreading. However, the evidential link between behavioural flexibility and complex cognition has not been explicitly or systematically defended. Such a defence is particularly pressing because observed flexible behaviours can frequently be explained by putatively simpler cognitive mechanisms. This leaves complex cognition hypotheses open to ‘deflationary’ challenges that are accorded greater evidential weight precisely because they offer (...) putatively simpler explanations of equal explanatory power. This paper challenges the blanket preference for simpler explanations, and shows that once this preference is dispensed with, and the full spectrum of evidence—including evolutionary, ecological and phylogenetic data—is accorded its proper weight, an argument in support of the prevailing assumption that behavioural flexibility can serve as evidence for complex cognitive mechanisms may begin to take shape. An adaptive model of cognitive-behavioural evolution is proposed, according to which the existence of convergent trait–environment clusters in phylogenetically disparate lineages may serve as evidence for the same trait–environment clusters in other lineages. This, in turn, could permit inferences of cognitive complexity in cases of experimental underdetermination, thereby placing the common view that behavioural flexibility can serve as evidence for complex cognition on firmer grounds. (shrink)

Aspects of human symbolic evolution are studied by scholars active in a variety of fields and disciplines in the life and the behavioral sciences as well as the scientific-philosophical, sociological, anthropological, and linguistic sciences. These fields and disciplines all take on an evolutionary approach to the study of human symbolism, but scholars disagree in their theoretical and methodological attitudes. Theoretically, symbolism is defined differentially as knowledge, behavior, cognition, culture, language, or social group living. Methodologically, the diverse symbolic evolution (...) sciences establish their teachings upon diverging evolutionary biological schools and paradigms. This chapter reviews past and current research fields in human symbolic evolution for how they differentially implement tenets of the major evolution schools that were discussed in the previous chapter. Traditional evolutionary epistemology and biosemiotics bring in a mesoevolutionary outlook by drawing on early Darwinism and evolutionary developmental biology movements that emphasize the role of the organism in evolution. Communication studies instead originally take on a microevolutionary perspective by investigating how units of information are transmitted across generations through time. Only later do they integrate studies on meaning-making at the organismal level. Sociobiology complements a microevolutionary with a macroevolutionary outlook by implementing population genetic approaches, typical of the Modern Synthesis, into studies on individual and group behavior. The new symbolic evolutionary sciences build upon these traditions and include disciplines such as evolutionary psychology, evolutionary linguistics, evolutionary anthropology, evolutionary archaeology, evolutionary sociology, and evolutionary economics. Originally centered on implementing Darwinian selection theory, these fields are now including ecological and evolutionary developmental biology as well as reticulate evolutionary paradigms. As diverse in outlook and scope as they are, no discipline holds a privileged position over the other and all have made valuable contributions to our understanding of human symbolic evolution. (shrink)

The Evolution of Modern Science and Its Rapid Progress in the Last Century -/- Science, as a structured and systematic pursuit of knowledge, has evolved significantly over the past 482 years since the Scientific Revolution in the 16th century. The development of the scientific method, rooted in observation, experimentation, and reasoning, laid the foundation for modern science. While early scientific discoveries took centuries to accumulate, the last 100 years have seen an unprecedented acceleration in scientific progress. This rapid advancement (...) is due to key factors such as technological innovation, increased collaboration, and improved access to knowledge. -/- The Birth of Modern Science (1543 Onward) -/- The Scientific Revolution (16th-17th century) marked the beginning of modern scientific methodology. In 1543, Nicolaus Copernicus published De revolutionibus orbium coelestium, proposing a heliocentric model of the solar system, which challenged long-held geocentric beliefs. This era saw contributions from Galileo Galilei, who improved the telescope and proved heliocentrism through astronomical observations, and Isaac Newton, who formulated the laws of motion and gravity. These discoveries established a foundation for physics, astronomy, and mathematics, guiding scientific thought for centuries. -/- In the 18th and 19th centuries, science expanded further, with breakthroughs in chemistry (Antoine Lavoisier’s work on oxygen), biology (Charles Darwin’s theory of evolution), and electromagnetism (Michael Faraday’s discoveries). These advancements paved the way for modern physics, medicine, and engineering. -/- The Explosive Growth of Science in the Last 100 Years (1925-2025) -/- The 20th and 21st centuries have witnessed the fastest growth in scientific knowledge in human history. The rate of discovery has increased exponentially due to various technological and societal factors. -/- 1. Technological Advancements -/- The development of computers and digital technology revolutionized scientific research. The ability to store, analyze, and simulate complex data has enabled faster experimentation and theory development. -/- The Invention of particle accelerators led to breakthroughs in quantum physics, such as the discovery of subatomic particles (e.g., the Higgs boson in 2012). -/- The Human Genome Project (completed in 2003) mapped human DNA, transforming genetics and medicine. -/- 2. Scientific Collaboration and Globalization -/- Unlike earlier centuries when scientists worked in isolation, the last 100 years have seen an unprecedented level of collaboration across countries. -/- Organizations like NASA, CERN, and WHO have pooled resources and expertise, leading to breakthroughs such as space exploration and vaccines. -/- The internet and digital communication have enabled real-time exchange of scientific knowledge, accelerating progress. -/- 3. Medical and Biological Advancements -/- The discovery of antibiotics (penicillin in 1928) revolutionized medicine, dramatically increasing human lifespan. -/- Advancements in vaccines and medical imaging (such as MRI and CT scans) have improved healthcare worldwide. -/- The development of mRNA vaccine technology (used for COVID-19 vaccines in 2020) showcases how modern science can respond to global challenges quickly. -/- 4. Physics and Space Exploration -/- Einstein’s theory of relativity (1905-1915) redefined our understanding of space and time, influencing modern astrophysics. -/- The moon landing (1969) and the exploration of Mars and deep space have expanded human knowledge beyond Earth. -/- The James Webb Space Telescope (launched in 2021) is uncovering new insights into the origins of the universe. -/- 5. Artificial Intelligence and Automation -/- The rise of AI and machine learning has accelerated scientific discoveries by processing massive datasets quickly. -/- AI is now used in medicine, climate research, and even scientific hypothesis generation. -/- Why Science is Progressing Faster Now -/- Several factors contribute to the rapid acceleration of science in the last 100 years: -/- Exponential Growth of Knowledge: Each new discovery builds upon previous ones, creating a snowball effect. -/- Access to Information: The internet and digital libraries provide instant access to scientific literature. -/- Increased Funding and Research Institutions: Governments and private companies invest heavily in research and development. -/- Automation and AI: AI helps analyze data, simulate experiments, and accelerate discoveries. -/- Interdisciplinary Approaches: Modern science integrates multiple fields (e.g., biology + AI = bioinformatics), leading to faster innovation. -/- Conclusion -/- Science has come a long way from its structured beginnings during the Scientific Revolution to the rapidly evolving landscape of the 21st century. While it took centuries to develop early scientific principles, the last 100 years have seen an extraordinary acceleration in discoveries and technological advancements. The combined effects of global collaboration, digital technology, and artificial intelligence ensure that science will continue to progress at an ever-increasing rate, shaping the future of humanity. -/- This remarkable growth in science underscores the power of human curiosity and innovation, proving that knowledge, when pursued systematically, has no limits. -/- . (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)

In Darwin’s Dangerous Idea, Daniel Dennett claims that evolution is algorithmic. On Dennett’s analysis, evolutionary processes are trivially algorithmic because he assumes that all natural processes are algorithmic. I will argue that there are more robust ways to understand algorithmic processes that make the claim that evolution is algorithmic empirical and not conceptual. While laws of nature can be seen as compression algorithms of information about the world, it does not follow logically that they are implemented as (...) algorithms by physical processes. For that to be true, the processes have to be part of computational systems. The basic difference between mere simulation and real computing is having proper causal structure. I will show what kind of requirements this poses for natural evolutionary processes if they are to be computational. (shrink)

Die Beziehung der Entwicklung des Lebens im Weltall - von den einfachsten Formen bis zu Leben mit Geist und Bewusstsein – zu der Physik, wie wir sie aus der unbelebten Natur kennen, ist Thema dieses Essays. Ist die Entstehung des Lebens Zufall, ist es Folge einer physikalischen Logik, die noch zu entdecken ist, oder ist „Lebensfreundlichkeit“ ein eigenes Prinzip des Naturgeschehens, das zum Beispiel offene Naturkonstanten der physikalischen Gesetze festlegt, zu denen die geheimnisvollen Grossen Zahlen der Kosmologie gehören – „The (...) Lore of Large Numbers…“? Wissenschaftlich bleibt diese Frage nicht eindeutig zu klären; intuitiv wird das „Prinzip lebensfreundlich“ der menschlichen Evolution wohl am ehesten gerecht. Dabei ist „lebensfreundlich“ in diesem Artikel nicht psychologisch im Sinne menschlicher Beziehungen gemeint, sondern eine Art Kurzbezeichnung für eine Physik, die im Kosmos irgendwann und irgendwo Leben, auch menschliches Leben mit Geist und Bewusstsein ermöglicht. Der Artikel ergänzt auch Texte des Autors über Physik und Bewusstsein, um physikalische und anthropologische Aspekte der Kosmologie (unter philpapers im Volltext). (shrink)

“Denn das Maß der Widerwärtigkeiten und Schlechtigkeiten wird augenblicklich wieder durch neue aufgefüllt, als glitte das eine Bein der Welt immer wieder zurück, wenn sich das andere vorschiebt. Daran müßte man die Ursache und den Geheimmechanismus erkennen!” (Robert Musil, Der Mann ohne Eigenschaften, I, 27) Die Frage, ob Evolution eine Fortschrittskomponente beinhalte, oder zumindest einen Trend zur Komplexität der Organismen oder der Ökosysteme, beschäftigt nicht nur Romanschreiber, sondern Biologen wie Philosophen (Ruse 1993). Ist Anpassung ein Schritt vorwärts? Wovon weg (...) - worauf zu? Ist der komplexere Organismus besser an seine Umwelt angepaßt? Wenn ja, was sind die Konsequenzen und Kosten solchen Fortschritts? Ludwig von Bertalanffy wunderte sich über den Sinn eines evolutionären Dramas, in dem das Leben sich umständlich immer höher schraubt, um für jede erreichte Ebene einen neuen Preis zu zahlen: für Vielzelligkeit den Tod des Individuums, für das Nervensystem den Schmerz, für das Bewußtsein die Angst (Davidson 1983). Daß Evolution nicht, wie man lange glauben wollte, partout der Komplexität zustrebt, zeigt sich am Verlust der Flugfähigkeit bei vielen Inselvögeln in Abwesenheit terrestrischer Räuber, oder an der strukturellen Vereinfachung der meisten Parasiten, wird aber besonders deutlich in den klassischen Experimenten von Spiegelman (1967). Spiegelman inkubierte die RNA eines Virus in einer konstant gehaltenen Brühe aus freien Monomeren und Replikase. Unter artifizieller Selektion für rapide Reproduktion etablierte sich in diesem Experiment nach nur 75 Generationen eine stabile Mutante, die sich zwar fünfzehnmal so schnell vermehrte, sich aber von ursprünglich 4200 Nukleotiden auf nur mehr 220 reduziert hatte, nicht viel mehr als die Erkennungsstelle für die Replikase. Im Schlaraffenland, wo Ressourcen nie weniger werden, Abfälle sich nie anhäufen und Feinde nicht existieren, in einer Umwelt also, in welcher der Organismus weder bedroht noch von den Rückwirkungen seiner eigenen Handlungen betroffen wird, verläuft die Evolution anscheinend nicht in Richtung auf zunehmende Größe und Komplexität, wie dies Bonner (1988) für die reale Welt zu zeigen versuchte, sondern genau umgekehrt. Ich werde im folgenden eine Antwort auf dieses Paradoxon skizzieren, die aus den folgenden Thesen besteht: 1. Jeder Adaptivschritt eines evoluierenden Organismus zieht einen Komplementärschritt seiner unbelebten und seiner belebten Umwelt nach sich. Die Umwelt weicht vom sich adaptierenden Organismus zurück. Der Organismus von heute ist an die Umwelt von gestern angepaßt. 2. Während die unbelebte Umwelt lediglich in passiver Weise auf das energetische Vordringen des Organismus reagiert, sind Wechselwirkungen zwischen Organismus und belebter Umwelt, also anderen Organismen, teleonomisch. Wechselwirkungen, die im Energiefluß asymmetrisch sind (wie zum Beispiel zwischen Räuber und Beute), sind im Informationsfluß komplementär asymmetrisch. In dem Maße wie Energie zum erfolgreichen Räuber fließt, fließt Information zur erfolgreichen Beute. Der Räuber von heute erbt das Beutebild von gestern. 3. Einmalige Individualität, das Resultat sexueller Fortpflanzung, vermittelt diese asymmetrische Rückkoppelung und puffert die daraus resultierende zeitverschobene Eskalation. Der Trend zur Individualisierung ist selbstverstärkend und führt zu zunehmender räumlicher und zeitlicher Komplexität von Organismen und Umwelten. Individualität ist die stärkste Triebfeder in der Gestaltung der Biosphäre. (shrink)

Information and meaning exist around us and within ourselves, and the same information can correspond to different meanings. This is true for humans and animals, and is becoming true for robots. We propose here an overview of this subject by using a systemic tool related to meaning generation that has already been published (C. Menant, Entropy 2003). The Meaning Generator System (MGS) is a system submitted to a constraint that generates a meaningful information when it receives an (...) incident information that has a relation with the constraint. The content of the meaningful information is explicited, and its function is to trigger an action that will be used to satisfy the constraint of the system. The MGS has been introduced in the case of basic life submitted to a "stay alive" constraint. We propose here to see how the usage of the MGS can be extended to more complex living systems, to humans and to robots by introducing new types of constraints, and integrating the MGS into higher level systems. The application of the MGS to humans is partly based on a scenario relative to the evolution of body self-awareness toward self-consciousness that has already been presented (C. Menant, Biosemiotics 2003, and TSC 2004). The application of the MGS to robots is based on the definition of the MGS applied to robots functionality, taking into account the origins of the constraints. We conclude with a summary of this overview and with themes that can be linked to this systemic approach on meaning generation. (shrink)

The informal logic movement began as an attempt to develop – and teach – an alternative logic which can account for the real life arguing that surrounds us in our daily lives – in newspapers and the popular media, political and social commentary, advertising, and interpersonal exchange. The movement was rooted in research and discussion in Canada and especially at the University of Windsor, and has become a branch of argumentation theory which intersects with related traditions and approaches (notably formal (...) logic, rhetoric and dialectics in the form of pragma-dialectics). In this volume, some of the best known contributors to the movement discuss their views and the reasoning and argument which is informal logic’s subject matter. Many themes and issues are explored in a way that will fuel the continued evolution of the field. Federico Puppo adds an insightful essay which considers the origins and development of informal logic and whether informal logicians are properly described as a “school” of thought. In considering that proposition, Puppo introduces readers to a diverse range of essays, some of them previously published, others written specifically for this volume. (shrink)

Biological evolution and technological innovation, while differing in many respects, also share common features. In particular, implementation of a new technology in the market is analogous to the spreading of a new genetic trait in a population. Technological innovation may occur either through the accumulation of quantitative changes, as in the development of the ocean clipper, or it may be initiated by a new combination of features or subsystems, as in the case of steamships. Other examples of the latter (...) type are electric networks that combine the generation, distribution, and use of electricity, and containerized transportation that combines standardized containers, logistics, and ships. Biological evolution proceeds, phenotypically, in many small steps, but at the genetic level novel features may arise not only through the accumulation of many small, common mutational changes, but also when distinct, relatively rare genetic changes are followed by many further mutations. In particular, capabilities of biologically modern man may have been initiated, perhaps some 150 000 years ago, by one or few accidental but distinct combinations of modules and subroutines of gene regulation which are involved in the generation of the neural network in the cerebral cortex. It is even conceivable that it was one primary genetic event that initiated the evolution of biologically modern man, introducing some novel but subtle feature of connectivity into the cerebral cortex which allowed for meta-levels of abstraction and upgraded modes of information processing. This may have set the stage for the evolution of integrated but diverse higher capabilities such as structured language, symbolic thought, strategic thought, and cognition based empathy. (shrink)

The article proposes to further develop the ideas of the Extended Evolutionary Synthesis by including into evolutionary research an analysis of phenomena that occur above the organismal level. We demonstrate that the current Extended Synthesis is focused more on individual traits (genetically or non-genetically inherited) and less on community system traits (synergetic/organizational traits) that characterize transgenerational biological, ecological, social, and cultural systems. In this regard, we will consider various communities that are made up of interacting populations, and for which the (...) individual members can belong to the same or to different species. Examples of communities include biofilms, ant colonies, symbiotic associations resulting in holobiont formation, and human societies. The proposed model of evolution at the level of communities revises classic theorizing on the major transitions in evolution by analyzing the interplay between community/social traits and individual traits, and how this brings forth ideas of top-down regulations of bottom-up evolutionary processes (collaboration of downward and upward causation). The work demonstrates that such interplay also includes reticulate interactions and reticulate causation. In this regard, we exemplify how community systems provide various non-genetic ‘scaffoldings’, ‘constraints’, and ‘affordances’ for individual and sociocultural evolutionary development. Such research complements prevailing models that focus on the vertical transmission of heritable information, from parent to offspring, with research that instead focusses on horizontal, oblique and even reverse information transmission, going from offspring to parent. We call this reversed information transfer the ‘offspring effect’ to contrast it from the ‘parental effect’. We argue that the proposed approach to inheritance is effective for modelling cumulative and distributed developmental process and for explaining the biological origins and evolution of language. (shrink)

The presentation proposes to complement an existing development on meaning generation for animals, humans and artificial agents by looking at what could have existed at pre-biotic times and what could be a post-human meaning generation. The core of the approach is based on an existing model for meaning generation: the Meaning Generator System (MGS). The MGS is part of an agent submitted to an internal constraint. The MGS generates a meaning when it receives information that has a connection with (...) the constraint. The generated meaning is used by the agent to implement an action (physical, biological or mental) aimed at satisfying the constraint. The action can be in or out the agent. The purpose of the presentation is to widen the MGS approach in order to reach a coverage for information, constraint and meaning from a pre-biotic level to a possible post-human one. We present the MGS for animals, humans and artificial agents with the corresponding constraints. We then look at what could have been a constraint at a pre-biotic far from thermodynamic equilibrium level. At the other end of the spectrum we look at a possible post-human status with an evolution of a ‘limit anxiety’ human constraint and also with AAs submitted to animal or human type constraints. Such approach links information science with physics, evolution, anthropology, semiotics and human mind. Continuations are proposed. (shrink)

In this chapter, I argue that the field of cultural evolution can usefully inform attempts to understand and influence the long-term future. First, I provide an overview of cultural evolution, covering what it means for culture to evolve, the mechanisms by which it happens, the crucial importance of cumulative cultural evolution for hunan history, and how cultural evolution (and in particular intergroup competition) has driven the rise of large-scale cooperation. Second, I draw out some possible lessons (...) from cultural evolution for thinking about the long-term future. In particular, I suggest we should be careful not to prematurely ”lock in” certain values or other cultural features, and instead aim for a society open to variation and competition. I also consider whether the future will bring greater selection pressure for particular kinds of values, such as patience. (shrink)

1. The two argue: person "A" supports, person "B" refuses evolution... The truth (what is truer) is closer to reality than untruth: the truth improves adaptation 2. If evolution is universally true (anytime), person "A" better adapts to environment, so he gains over person "B" (=natural selection) 3. Statement "evolution is true" is motivated by the 'evolutionary' advantage, so it is biased Summary: Evolution is true, if it is untrue (when it can be unbiased) Exhibited in (...) Holland Park, W8 6LU, The Ice House between 18. Oct - 3. Nov. 2013. (shrink)

Introduction: the objective of the investigation is to analyse the informational operating-mode of the brain and to extract conclusions on the structure of the informational system of the human body and consciousness. Analysis: the mechanisms and processes of the transmission of information in the body both by electrical and non-electrical ways are analysed in order to unify the informational concepts and to identify the specific essential requirements supporting the life. It is shown that the electrical transmission can be described (...) by typical YES/NO (all or nothing) binary units as defined by the information science, while the inter and intra cell communication, including within the synaptic junction, by mechanisms of embodiment/disembodiment of information. The virtual received or operated information can be integrated in the cells as matter-related information, with a maximum level of integration as genetically codified info. Therefore, in terms of information, the human appears as a reactive system changing information with the environment and between inner informational subsystems which are: the centre of acquisition and storing of information (acquired data), the centre of decision and command (decision), the info-emotional system (emotions), the maintenance informational system (matter absorption/desorption/distribution), the genetic transmission system (reproduction) and info-genetic generator (genetically assisted body evolution). The dedicated areas and components of the brain are correlated with such systems and their functions are specified. Result: the corresponding cognitive centres projected into consciousness are defined and described according to their specific functions. The cognitive centres, suggestively named to appropriately include their main characteristics are detected at the conscious level respectively as: memory, decisional operation (attitude), emotional state, power/energy status and health, associativity and offspring formation, inherited predispositions, skills and mentality. The near-death and religious experiences can be explained by an Info-Connection pole. Conclusion: consciousness could be fully described and understood in informational terms. (shrink)

In psychophysical experiments, the use of a psychophysical procedure of brightness/darkness cancellation shed light on interactions between spatial arrangement and figure–ground contrast in the perceptual filling in of achromatic and colored surfaces.Achromatic and chromatic Kanizsa squares with varying contrast, contrast polarity, and inducer spacingwere used to test how these factors interact in the perceptual filling in of surface brightness or darkness. The results suggest that the neuronal processing of surfaces with apparent contrast, leading to figure–ground segregation (i.e., perceptual organization), is (...) governed by mechanisms that integrate both luminance contrast and spatial information carried by the inducing stimuli, while discarding information on contrast polarity or color. The findings are discussed in relation to earlier observations on brightness assimilation and contrast. They support theories of nonantagonistic neural mechanisms suppressing local contrast or color signs in brightnessbased figure–ground percepts. Such mechanismsmight be necessary to cancel potentially conflicting polarities in geometricallycomplex visual stimuli so that perceptual filling in resulting in the most plausible representation of figure and ground can be achieved. (shrink)

We propose here to clarify some of the relations existing between information and meaning by showing how meaningful information can be generated by a system submitted to a constraint. We build up definitions and properties for meaningful information, a meaning generator system and the domain of efficiency of a meaning (to cover cases of meaningful information transmission). Basic notions of information processing are used.

DARWIN’s (1859, 1871) discoveries have profound ethical implications that continue to be misrepresented and/or ignored. In contrast to socialdarwinistic misuses of his theory, Darwin was a great humanitarian who paved the way for an integrated scientific and ethical world view. As an ethical doctrine, socialdarwinism is long dead ever since its defeat by E. G. Moore although the socialdarwinistic thought is a hard-die in the biological community. The accusations of sociobiology for being socialdarwinistic are unfounded and stem from the moralistic (...) fallacy that is, a false assumption that morality is good by definition. Both social and developmental psychology demonstrate that the moral agency is a motivational device for executing reciprocity that remains at the core of any morality across all studied societies and throughout the ontogeny of moral judgment. The level of true universalizing ethical reflection (KOHLBERG’s postconvential stages or GIBBS’s existential phase) is achieved by a small minority of humans, thus showing that Homo sapiens is a moral but not an ethical animal. While the origin of reciprocity has been perfectly explained by sociobiology, the evolutionary assembly of affective and cognitive elements that make up the moral agency is being successfully studied by the social/personality/developmental psychology as extended to non-human primates. As DARWIN (1871) expected, the key innovation for the evolution of moral agency was the emergence of empathy that evolved independently at least three times: in elephants, dolphins and primates. Empathy has a motivational power of its own; it is also necessary for moral agency that requires two cognitive abilities: reflective self-consciousness and understanding of causality; the two make possible the attribution of responsibility. All these requirements are met by the chimpanzees whose moral agency operates in dyads. In contrast, the human moral agency allows for a third party intervention that opens up vast opportunities for ideologies, especially religions, to use and misuse the moral agency to enforce a reciprocation that may be harmful to both individuals and the entire group. Also, the moral agency is known to enforce enhanced intragroup cohesion and loyalty in response to conflict and war, which suggests that the two prima facie opposed human universals, morality and warfare, may have coevolved. The most important ethical consequence that follows from the increasing understanding of the primate moral agency is that every received morality is ethically flawed, none can be taken as a paragon of goodness, and each needs corrections by science-informed ethics. In fact, Darwin pioneered the integration of science and ethics, an approach that has come to be appreciated only recently under the heading of consilience. (shrink)

This thesis studies the enabling properties of ICT and their effects and potential for social change, and prepares the ground for a sustainability-oriented ethico-political assessment of this technology. It primarily builds on interdisciplinary scholarship to describe and explain the multifaceted co-evolution between the global deployment of ICTs and the emergence of the Information Society, understood as a socioeconomic restructuring of capitalism. Beyond the role of ICTs in this regime transition, the thesis delivers other philosophical insights about crucial aspects (...) of ICT development, applications and management. These include arguments about how we should conceptualize ICTs on the basis of their different roles in extending human communication and in performing or facilitating the remote control of humans and animals, machines and systems operations; about the entanglement between telecommunications, transport networks, urban development and work and organization; and about the relations between ICTs, culture and human values. Examples are offered to illustrate the potential that these empirical and philosophical lessons may hold for the construction of a framework for the ethico-political assessment of ICTs. (shrink)

First-person and third-person perspectives are different items of human consciousness. Feeling the taste of a fruit or being consciously part of a group eating fruits call for different perspectives of consciousness. The latter is about objective reality (third-person data). The former is about subjective experience (first-person data) and cannot be described entirely by objective reality. We propose to look at how these two perspectives could be rooted in an evolutionary origin of human consciousness, and somehow be connected. Our starting point (...) is a scenario describing how evolution could have transformed a non self-conscious auto-representation into a conscious self-representation (Menant 2006). The scenario is based on the performance of inter-subjectivity existing among non human primates (Gardenfors 2006). A key item of the scenario is the identification of the auto-representation of a subject with the representations that the subject has of her conspecifics, the latter feeding the former with the meaning: “existing in the environment”. So during evolution, pre-human primates were brought to perceive their auto-representation as existing in the environment. Such process could have generated the initial elements of a conscious self-representation. We take this scenario as providing a possible rooting of human consciousness in evolution. We develop here a part of this scenario by expliciting the inward and outward components of the non self-conscious auto-representation. Inward components are about proprioception and interoception (thirst, pain, …). Outward components cover the sensory information relative to the perception of the body (seen feet, … ) and of its effects on the environment. We consider that the initial elements of a conscious self-representation have been applied to both inward and outward components of the auto-representation. We propose that the application to inward components made possible some first-person information, and that the application to outward components brought up third-person information. Relations between the two perspectives are highlighted. Such approach can root first-person and third-person perspectives in the same slot of human evolution. We conclude by a summary of the above and introduce a possible application of this approach to the concepts of bodily self and of pre-reflexive self-consciousness (Legrand, 2006). (shrink)

Memory evolved to supply useful, timely information to the organism’s decision-making systems. Therefore, decision rules, multiple memory systems, and the search engines that link them should have coevolved to mesh in a coadapted, functionally interlocking way. This adaptationist perspective suggested the scope hypothesis: When a generalization is retrieved from semantic memory, episodic memories that are inconsistent with it should be retrieved in tandem to place boundary conditions on the scope of the generalization. Using a priming paradigm and a decision (...) task involving person memory, the authors tested and confirmed this hypothesis. The results support the view that priming is an evolved adaptation. They further show that dissociations between memory systems are not—and should not be—absolute: Independence exists for some tasks but not others. (shrink)

The study of man on Earth is a historical science akin to forensic science and is best conducted with the truth of scripture in mind. Surely, this approach is quite consistent with Bussey’s argument since the presence of God is needed in our spacetime to create not only life and mind but also human beings in God’s image.

The notion of representation is at the foundation of cognitive sciences and is used in theories of mind and consciousness. Other notions like ‘embodiment’, 'intentionality‘, 'guidance theory' or ‘biosemantics’ have been associated to the notion of representation to introduce its functional aspect. We would like to propose here that a conception of 'usage related' representation eases its positioning in an evolutionary context, and opens new areas of investigation toward self-representation and self-consciousness. The subject is presented in five parts:Following an overall (...) presentation, the first part introduces a usage related representation as being an information managed by a system submitted to a constraint that has to be satisfied. We consider that such a system can generate a meaningful information by comparing its constraint to a received information (Menant 2003). We define a representation as being made of the received information and of the meaningful information. Such approach allows groundings in and out for the representation relatively to the system. The second part introduces the two types of representations we want to focus on for living organisms: representations of conspecifics and auto-representation, the latter being defined without using a notion of self-representation. Both types of representations have existed for our pre-human ancestors which can be compared to today great apes.In the third part, we use the performance of intersubjectivity as identified in group life with the presence of mirror neurons in the organisms. Mirror neurons have been discovered in the 90‘s (Rizzolatti & al.1996, Gallese & al.1996). The level of intersubjectivity that can be attributed to non human primates as related to mirror neurons is currently a subject of debate (Decety 2003). We consider that a limited intersubjectivity between pre-human primates made possible a merger of both types of representations. The fourth part proposes that such a merger of representations feeds the auto-representation with the meanings associated to the representations of conspecifics, namely the meanings associated to an entity perceived as existing in the environment. We propose that auto-representation carrying these new meanings makes up the first elements of self-representation. Intersubjectivity has allowed auto-representation to evolve into self-representation, avoiding the homunculus risk. The fifth part is a continuation to other presentations (Menant 2004, 2005) about possible evolution of self-representation into self-consciousness. We propose that identification with suffering or endangered conspecifics has increased anxiety, and that the tools used to limit this anxiety (development of empathy, imitation, language and group life) have provided a positive feedback on intersubjectivity and created an evolutionary engine for the organism. Other outcomes have also been possible. Such approach roots consciousness in emotions. The evolutionary scenario proposed here does not introduce explicitly the question of phenomenal consciousness (Block 1995). This question is to be addressed later with the help of this scenario.The conclusion lists the points introduced here with their possible continuations. (shrink)

Humans coordinate their focus of attention with others, either by gaze following or prior agreement. Though the effects of joint attention on perceptual and cognitive processing tend to be examined in purely visual environments, they should also show in multisensory settings. According to a prevalent hypothesis, joint attention enhances visual information encoding and processing, over and above individual attention. If two individuals jointly attend to the visual components of an audiovisual event, this should affect the weighing of visual (...) class='Hi'>information during multisensory integration. We tested this prediction in this preregistered study, using the well-documented sound-induced flash illusions, where the integration of an incongruent number of visual flashes and auditory beeps results in a single flash being seen as two (fission illusion) and two flashes as one (fusion illusion). Participants were asked to count flashes either alone or together, and expected to be less prone to both fission and fusion illusions when they jointly attended to the visual targets. However, illusions were as frequent when people attended to the flashes alone or with someone else, even though they responded faster during joint attention. Our results reveal the limitations of the theory that joint attention enhances visual processing as it does not affect temporal audiovisual integration. (shrink)

Title: Explaining the Evolution of Male and Female Through the Universal Formula of Natural Balance -/- Author: Angelito Malicse -/- Abstract: This paper presents a formal explanation of the evolution of male and female sexes through the lens of the universal formula based on the law of balance In nature. By applying principles such as natural feedback mechanisms, equilibrium in systemic functions, and the necessity of defect-free operation within biological systems, the evolution of sexual differentiation is analyzed (...) as a product of natural law. In addition, philosophical and religious insights are acknowledged, supporting the harmony between science and broader human understanding. -/- Introduction: The universal formula developed by the author is grounded in three core natural laws: the universal law of balance, the operation of feedback mechanisms, and the requirement that all systems must function free of defects to operate correctly. This formula, originally conceived to address the problem of free will, can be applied across natural phenomena, including the biological evolution of male and female sexes. It offers a unifying principle that respects scientific rigor, philosophical reasoning, and religious belief systems. -/- I. The Law of Balance in Nature Sexual reproduction represents a natural balance between two complementary roles. The division into male and female sexes facilitates genetic diversity, species resilience, and evolutionary adaptability. This dual structure creates a biological equilibrium where each sex contributes specific and essential functions toward reproduction, thereby maintaining the survival and continuity of species (Maynard Smith, 1978; Roughgarden, 2004). -/- From a philosophical standpoint, balance is a universal value — echoed in classical concepts such as Aristotle’s “Golden Mean,” which emphasizes moderation and harmony. Theologically, many spiritual traditions also recognize the complementarity of masculine and feminine energies (e.g., Yin and Yang in Taoism, or the creation of male and female in Abrahamic religions). -/- II. Feedback Mechanisms in Evolution The emergence of male and female sexes did not occur arbitrarily; rather, it was shaped by continuous feedback from the environment. Evolutionary pressures, such as resource availability, mating competition, and survival challenges, influenced the development of sex-specific traits and behaviors. Internal feedback (hormonal, genetic) and external feedback (ecological and social conditions) work together to refine these characteristics over generations (Darwin, 1871; West-Eberhard, 2003). -/- Philosophically, feedback reflects the dialectical process — the evolution of ideas or forms through interaction and contradiction. In a religious sense, feedback can be likened to moral cause and effect, as expressed in the law of karma, where consequences serve as feedback for moral learning and balance. -/- III. System Functionality and Elimination of Defects In accordance with the third law of the universal formula, biological systems must operate without defects. Sexual reproduction as a system is interdependent: if either the male or female function fails, reproduction cannot occur, leading to extinction. Natural selection acts as a mechanism that continuously eliminates biological “defects” — traits that reduce reproductive success — ensuring that the system of male and female remains efficient and viable (Williams, 1966; Dawkins, 1976). -/- This mirrors the philosophical principle that a coherent system must be internally consistent. In religious contexts, sacred texts often describe creation as “good” or “perfect” (e.g., Genesis 1:31), suggesting that natural systems were designed to work without defect — a view that resonates with the principle of systemic integrity in the universal formula. -/- Conclusion: The evolution of male and female sexes is not random but a necessary development governed by the universal laws of nature. By applying the universal formula, it becomes evident that sexual differentiation serves as a balanced, feedback-informed, and functionally sound system that supports the survival and advancement of life. This framework not only aligns with biological evidence but also integrates philosophical reasoning and religious understanding. Thus, the universal formula provides a bridge that unites scientific, spiritual, and philosophical dimensions of human knowledge. -/- Keywords: universal formula, law of balance, feedback mechanism, sexual reproduction, natural selection, system function, philosophy, religion, free will -/- References: -/- Darwin, C. (1871). The Descent of Man, and Selection in Relation to Sex. John Murray. -/- Dawkins, R. (1976). The Selfish Gene. Oxford University Press. -/- Maynard Smith, J. (1978). The Evolution of Sex. Cambridge University Press. -/- Roughgarden, J. (2004). Evolution’s Rainbow: Diversity, Gender, and Sexuality in Nature and People. University of California Press. -/- West-Eberhard, M. J. (2003). Developmental Plasticity and Evolution. Oxford University Press. -/- Williams, G. C. (1966). Adaptation and Natural Selection: A Critique of Some Current Evolutionary Thought. Princeton University Press. -/- Aristotle. (350 BCE). Nicomachean Ethics. (Translated by W.D. Ross). -/- Laozi. (6th Century BCE). Tao Te Ching. -/- The Holy Bible. (n.d.). Genesis 1:27, 1:31. -/- Upanishads. (n.d.). Various texts on the unity of opposites and balance. -/- Malicse, A. (2023). The Universal Formula for Solving the Problem of Free Will (Unpublished manuscript). -/- . (shrink)

IntroductionBy ‘philosophy of consciousness’ we mean an assembly of different approaches such as philosophy of mind , perception, rational conclusions, information processing and contradictory conceptions such as holistic ‘all is mind’ perspectives and their atomistic counterparts.Since ancient Greeks philosophy has provided widespread debates on pneuma, nous, psyche, spiritus, mind, and Geist. In more recent times the philosophy of consciousness has become part of psychology, sociology, neuroscience, cognitive science, linguistics, communication science, information theory, cybernetic systems theory, synthetic biology, biolinguistics, (...) bioinformatics and biosemiotics.However, no matter what each of these approaches presents as a coherent explanation of the human mind, thinking, and consciousness, they remain alien to our self-awareness and self-reflection-based understanding because they do not offer a rational and at the same time .. (shrink)

Theories of consciousness grounded in neuroscience must explain the phenomenal binding problem, e.g., how micro-units of information are combined to create the macro-scale conscious experience common to human phenomenology. An example is how single ‘pixels’ of a visual scene are experienced as a single holistic image in the ‘mind’s eye’, rather than as individual, separate, and massively parallel experiences, corresponding perhaps to individual neuron activations, neural ensembles, or foveal saccades, any of which could conceivably deliver identical functionality from an (...) information processing point of view. There are multiple contested candidate solutions to the phenomenal binding problem. This paper explores how the metaphysical infrastructure of Integrated Information Theory (IIT) v4.0 can provide a distinctive solution. The solution—that particular entities aggregable from multiple units (‘complexes’) define existence—might work in a static picture, but introduces issues in a dynamic system. We ask what happens to our phenomenal self as the main complex moves around a biological neural network. Our account of conscious entities developing through time leads to an apparent dilemma for IIT theorists between non-local entity transitions and contiguous selves: the ‘dynamic entity evolution problem’. As well as specifying the dilemma, we describe three ways IIT might dissolve the dilemma before it gains traction. Clarifying IIT’s position on the phenomenal binding problem, potentially underpinned with novel empirical or theoretical research, helps researchers understand IIT and assess its plausibility. We see our paper as contributing to IIT’s current research emphasis on the shift from static to dynamic analysis. (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)

We describe an approach to measuring biological information where ‘information’ is understood in the sense found in Francis Crick’s foundational contributions to molecular biology. Genes contain information in this sense, but so do epigenetic factors, as many biologists have recognized. The term ‘epigenetic’ is ambiguous, and we introduce a distinction between epigenetic and exogenetic inheritance to clarify one aspect of this ambiguity. These three heredity systems play complementary roles in supplying information for development. -/- We then (...) consider the evolutionary significance of the three inheritance systems. Whilst the genetic inheritance system was the key innovation in the evolution of heredity, in modern organisms the three systems each play important and complementary roles in heredity and evolution. -/- Our focus in the earlier part of the paper is on ‘proximate biology’, where information is a substantial causal factor that causes organisms to develop and causes offspring to resemble their parents. But much philosophical work has focused on information in ‘ultimate biology’. Ultimate information is a way of talking about the evolutionary design of the mechanisms of development and inheritance. We conclude by clarifying the relationship between the two. Ultimate information is not a causal factor that acts in development or heredity, but it can help to explain the evolution of proximate information, which is. (shrink)

Learning from contemporary natural, formal, and social sciences, especially from current biology, as well as from humanities, particularly contemporary philosophy of nature, requires updates of our old definitions of cognition and intelligence. The result of current insights into basal cognition of single cells and evolution of multicellular cognitive systems within the framework of extended evolutionary synthesis (EES) helps us better to understand mechanisms of cognition and intelligence as they appear in nature. New understanding of information and processes of (...) physical (morphological) computation contribute to novel possibilities that can be used to inspire the development of abiotic cognitive systems (cognitive robotics), cognitive computing and artificial intelligence. (shrink)

Our intuition tells us that there is a general trend in the evolution of nature, a trend towards greater complexity. However, there are several definitions of complexity and hence it is difficult to argue for or against the validity of this intuition. Christoph Adami has recently introduced a novel measure called physical complexity that assigns low complexity to both ordered and random systems and high complexity to those in between. Physical complexity measures the amount of information that an (...) organism stores in its genome about the environment in which it evolves. The theory of physical complexity predicts that evolution increases the amount of ‘knowledge’ an organism accumulates about its niche. It might be fruitful to generalize Adami’s concept of complexity to the entire evolution (including the evolution of man). Physical complexity fits nicely into the philosophical framework of cognitive biology which considers biological evolution as a progressing process of accumulation of knowledge (as a gradual increase of epistemic complexity). According to this paradigm, evolution is a cognitive ‘ratchet’ that pushes the organisms unidirectionally towards higher complexity. Dynamic environment continually creates problems to be solved. To survive in the environment means to solve the problem, and the solution is an embodied knowledge. Cognitive biology (as well as the theory of physical complexity) uses the concepts of information and entropy and views the evolution from both the information-theoretical and thermodynamical perspective. Concerning humans as conscious beings, it seems necessary to postulate an emergence of a new kind of knowledge - a self-aware and self-referential knowledge. Appearence of selfreflection in evolution indicates that the human brain reached a new qualitative level in the epistemic complexity. (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)