Achieving Coherence introduces a transformative framework for understanding and managing the complexities of dynamic systems. In a world where uncertainty and interconnected challenges define the landscape, the SPARC framework (Spectrum of Possibility and Recursive Choice) offers a unified model to address these issues, bridging the gap between theory and application across disciplines. This work explores the principles of coherence, constraint satisfaction, and recursive feedback, shedding light on how systems maintain stability and adapt in the face of evolving constraints and environmental (...) noise. By integrating dimensional transitions, multi-constraint optimization, and resilience to stochastic influences, SPARC provides a novel approach to modeling systems that are inherently complex and interdependent. Applications range from stabilizing critical infrastructure and managing ecosystems under stress to advancing artificial intelligence and optimizing multi-agent systems. By demonstrating how local behaviors interact with global dynamics and how systems can thrive under variability, Achieving Coherence presents a compelling vision for navigating complexity and driving innovation in an interconnected world. (shrink)

This paper introduces the Chirality of Dynamics Emergent Systems (CODES), a unifying theory that reframes consciousness as an emergent property of dynamic systems achieving equilibrium between chaos and order. By grounding consciousness in adaptive, chiral processes, CODES provides a universal framework to resolve paradoxes such as free will vs. determinism, Gödel’s incompleteness, and Zeno’s paradoxes. The theory integrates principles of complex dynamics, evolutionary systems, and information theory, extending its applicability across neuroscience, philosophy, and quantum mechanics. Empirical pathways and practical (...) applications are discussed, alongside comparisons with e. (shrink)

"Complexity" is a catchword of certain extremely popular and rapidly developing interdisciplinary new sciences, often called accordingly the sciences of complexity. It is often closely associated with another notably popular but ambiguous word, "information"; information, in turn, may be justly called the central new concept in the whole 20th century science. Moreover, the notion of information is regularly coupled with a key concept of thermodynamics, viz. entropy. And like this was not enough it is quite usual (...) to add one more at present extraordinarily popular notion, namely chaos, and wed it with the abovementioned concepts. It is my aim in this paper to critically analyse this conceptual mess from a logical and philosophical point of view concentrating on the concepts of complexity and information and the question concerning the true relation between them. (shrink)

Surimposium is a theory of complex reality. It does not seek to shake up existing paradigms, even when they are contradictory. It places them in levels of reality of relative independence. The task is then to link them with a metaprincipe keeping everything monistic. From this principle, Surimposium establishes a continuity of information levels from hardware to virtual. Their staged complexity continues into the processing depth of neural networks. A stack of layers of information that I call "surimposed" (...) mimics other parts of the complex dimension to build a representation. Subject and model have their own reality. Shift is the root of intention. (shrink)

This essay explores the concept of emergence within the framework of noncommutative systems, challenging traditional views that tie emergent behaviour to commutative rule sets. Emergence typically refers to the phenomena where higher-level complexity arises from the interactions of simpler components, often under deterministic and commutative systems. However, noncommutative systems, where the order of operations affects the outcome, introduce a unique layer of complexity that complicates this understanding. By examining the properties of noncommutative systems through formal mathematical analysis and exploring case (...) studies from quantum mechanics, this essay investigates whether emergence can genuinely arise under noncommutative conditions. The findings suggest that noncommutative rule sets lead to a richer and more intricate form of emergent behaviour, characterised by path dependence and sequence sensitivity. This challenges our existing models of complexity and opens up new pathways for understanding emergent phenomena in both physical and cognitive systems. The implications of this analysis extend beyond theoretical curiosity, suggesting that emergent properties may exist in unexpected and non-linear domains, reshaping our perception of order, chaos, and complexity. (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)

Until the late 19th century scientists almost always assumed that the world could be described as a rule-based and hence deterministic system or as a set of such systems. The assumption is maintained in many 20th century theories although it has also been doubted because of the breakthrough of statistical theories in thermodynamics (Boltzmann and Gibbs) and other fields, unsolved questions in quantum mechanics as well as several theories forwarded within the social sciences. Until recently it has furthermore been assumed (...) that a rule-based and deterministic system was also predictable if only the rules were known, but this assumption has now been undermined by modern chaos-theory describing rule-based and deterministic, but unpredictable systems, while catastrophe-theory delivers a set of types describing various kinds of instability and conditions for the stability of a given system. Hence the main trait in the theoretical development in the 20th-century science can be described as a basic modification and limitation of some of the fundamental and strong assumptions forwarded in the previous epochs of modern science. Ironically, the very same process has been a process in which the human capacity to intervene in nature has expanded dramatically and mainly with the help of the very same theories, and not least because they allow nature to be described and made manipulable on a lower level and a more fine-grained scale. While the overall theoretical consistency between the various theories has gone, the reach of human intervention in nature has increased based on quite new dimensions whether in the area of physics (e.g.: energy technologies, chemical technologies, nanotechnologies etc.) or biology (ge¬netic manipulation) or in the area of psychology, sociology and culture (artificial simulations of mental processes, new means of communication, implying changes in the social infrastructure and cultural behaviour etc.). While some of these changes and new conditions can be reflected from within the conceptual framework of rule-based systems, albeit more complex than formerly recognized, others seem to give rise to the question of whether there are »systems« and relations between different systems in the world which are not rule-based? For instance, it seems to be obvious that the notion of instability represents a major conceptual break with former theories of rule-based systems, as the stability of the latter is an axiomatically given property implied in the very notion of rule-based systems, while instability can only be the result of external influence which should be explained as the result of another rule-based sy¬stem. While there are no difficulties implied concerning the stability of rule-based systems, the notion of unstable states of a system raises the question of how there can be a system at all if there are no invariant stabilising principles? This is the first question which I will address. And I shall do so by taking two examples of such systems as my point of departure. The first example will be the computer and the second will be ordinary language. In both cases I will argue that the stability of these systems (which are both defined by the existence/presence of human intentions) are provided by the help of - differently organised - redundancy functions which both allow the maintenance of systems in unstable macro-states, suspension of previous rules, underdetermination and overdetermination and generation/emergence/creation of new rules more or less independent of previous rules by the help of optional recursions to the permanently accessible underlying levels as for instance the level of binary representation in computers. Since the notion of redundancy is both controversial as such and often avoided, the concept is discussed (as defined in Claude Shannon's mathematical theory of information and in the semiotic framework of J. J. Greimas) and leading to a more general definition in which the redundancy functions serve to overcome noisy conditions, but at the cost of rule-based stability, determination, and predictability. A second question will be how the notion of rule-generating systems relates to the notion of anticipatory systems and it will be argued that rule-generating systems share some features with an¬ticipatory systems and that the former from a certain viewpoint can be seen as a subclass of the latter, although anticipative features are not necessarily a part of the definition of rule-generating systems. On the other hand, it will be discussed whether anticipatory systems which are not rule-generating systems can exist and it will be argued that the capacity to anticipate is strongly limited if it is not part of a rule-generating system. Therefore, it is concluded that the most powerful anticipatory systems need to be rule-generating systems. (shrink)

The major global challenges of our time, like climate and environmental crises, rising inequality, the emergence of disruptive technologies, etc., demand interdisciplinary research for effective solutions. A clear understanding of value is essential for guiding socio-cultural and economic transitions to address these issues. Despite numerous attempts to define value, existing approaches remain inconsistent across disciplines and lack a comprehensive framework. This paper introduces a novel perspective on value through the lens of granular interaction thinking theory, proposing an informational entropy-based (...) notion of value. Grounded on quantum mechanics, Shannon’s information theory, and the mindsponge theory, this framework integrates both subjective and objective considerations and is highly compatible with interdisciplinary research. The informational entropy-based notion of value effectively bridges diverse concepts of value, including use and exchange value in economics, personal values in psychology, and cultural, moral, ethical, and aesthetic values in society. By offering a unifying perspective, granular interaction thinking theory provides a valuable framework for translating insights from quantum mechanics into socio-cultural, economic, and psychological contexts, enriching theoretical discourse and enhancing analytical effectiveness. (shrink)

Abstract -/- This paper proposes that entropy—both physical and cognitive—can be reduced through structured mastery and framework collapse, leading to a restructured perception of time and order. By integrating key philosophical frameworks—Adler’s drive for superiority, Fromm’s humanistic psychoanalysis, Arendt’s theory of action, Rand’s rational individualism, Boulivert’s feminist critique of power structures, and Foucault’s knowledge-power dynamics—we examine whether structured mastery over systems creates a functional negentropy, where the refinement of cognitive and social structures leads to an increase in coherence and (...) control over both subjective and objective time. -/- We explore the central hypothesis that time itself is an emergent function of entropy gradients, rather than an intrinsic linear dimension. In physical systems, entropy dictates the arrow of time, as energy naturally dissipates from high to low concentration states. However, in cognitive and social systems, structured mastery may allow for localized entropy recompression, meaning that as individuals or collectives collapse unnecessary frameworks and refine their knowledge, they create pockets of negentropy—zones where disorder is minimized and information density is maximized. This process has profound implications, suggesting that mastery is not simply about efficiency or expertise, but about altering the fundamental structure of time within a given system. -/- By applying this model, we propose that knowledge structures function as thermodynamic systems, where self-improvement, task execution, and intellectual refinement act as entropy-reducing forces that increase both coherence and temporal efficiency. This could explain why states of deep expertise or high-flow cognition are often associated with subjective time dilation or compression—phenomena where individuals experience time as slowing down (when deeply immersed in complex tasks) or speeding up (when tasks become effortless due to high mastery). -/- Furthermore, this perspective suggests that sociopolitical agency is directly tied to one’s ability to manipulate knowledge entropy. Those who can collapse outdated or inefficient frameworks and replace them with optimized structures exert control over how time, energy, and labor are distributed within society. This connects to broader power dynamics—who is allowed to reduce entropy through innovation and who is forced into high-entropy cognitive and physical labor? By examining these forces across both individual and systemic levels, we argue that mastery is an emergent principle of negentropy, providing a new lens through which to view intelligence, power, and the structuring of time itself. -/- This interdisciplinary synthesis bridges thermodynamics, cognitive science, epistemology, and sociopolitical theory, offering a paradigm shift in understanding the relationship between entropy, knowledge, and time. If time is merely the result of entropy gradients, and if mastery over frameworks reduces entropy, then becoming a master is not merely about competence but about altering one’s own temporal reality. This has broad implications for fields ranging from AI development and cognitive enhancement to political theory and the philosophy of time. -/- Thus, we put forward a Temporal Mastery Hypothesis, where the act of mastering knowledge is akin to controlling entropy flows, leading to a new understanding of why expertise, power, and knowledge compression allow certain individuals and institutions to bend time to their advantage while others remain trapped in high-entropy existence. (shrink)

In Why Information Grows, the complexity researcher César Hildago provides a compelling account of the growth of information in the universe [1]. Drawing on wide-ranging theories of statistical mechanics, the field of economic sociology, the theory of social capital, and the emerging science of complexity economics, Hildago argues information can grow in the universe whose law seems to favor the growth of entropy because of the following three conditions: out-of-equilibrium systems, solids, and the computational abilities of (...) matters. These conditions are the foundation for the emergence of the ultimate computer, human economy, which can be viewed as a distributed computing networks that seek to generate embodiment of information (“crystals of imagination” (p.50)) that satisfy human needs and desires. -/- First: Just listen to scientific news, but the environmental intelligence birds must keep the information simple. Throw away anything that sounds too complicated. Only keep what is simple to grasp. Keep whatever news that seems friendly to the ears. If the information appears fuzzy and causes the brain to implode after two sentences, toss it away and stop listening. Doing so will make the news as orderly and simple to understand as the truth! -In GHG emissions, Wild Wise Weird: The Kingfisher Story Collection, Vuong (2025) [0]-. (shrink)

Integrated Information Theory (IIT) is currently one of the most influential scientific theories of consciousness. Here, we focus specifically on a metaphysical aspect of the theory’s most recent version (IIT 4.0), what we may call its idealistic ontology, and its tension with a kind of realism about the external world that IIT also endorses. IIT 4.0 openly rejects the mainstream view that consciousness is generated by the brain, positing instead that consciousness is ontologically primary while the physical domain is (...) just “operational”. However, this philosophical position is presently underdeveloped and is not rigorously formulated in IIT, potentially leading to many misinterpretations and undermining its overall explanatory power. In the present paper we aim to address this issue. We argue that IIT’s idealistic ontology should be understood as a specific combination of phenomenal primitivism, reductionism regarding Φ-structures and complexes, and eliminativism about non-conscious physical entities. Having clarified this, we then focus on the problematic tension between IIT’s idealistic ontology and its simultaneous endorsement of realism, according to which there is some kind of external reality independent of our minds. After refuting three potential solutions to this theoretical tension, we propose the most plausible alternative: understanding IIT’s realism as an assertion of the existence of other experiences beyond one’s own, what we call a non-solipsistic idealist realism. We end with concluding remarks and future research avenues. (shrink)

Time as the key to a theory of everything became recently a renewed topic in scientific literature. Social constructivism applied to physics abandons the inevitable essentials of nature. It adopts uncertainty in the scope of the existential activity of scientific research. We have enlightened the deep role of social constructivism of the predetermined Newtonian time and space notions in natural sciences. Despite its incompatibility with determinism governing the Newtonian mechanics, randomness and entropy are inevitable when negative localized energy is (...) transformed into spatially dissipative heat. In sharp contrast to the Newtonian notion, social constructivism makes room for the temporal twin of cyclic conservation and pseudo-linearly structural evolution both reconciling mechanical order and thermodynamic chaos in Leibnizian space-time. In the broad scope of natural sciences this triad nature of time produces a multiple reality and gives appropriate answers on virtual physical paradoxes. (shrink)

This essay delves into the multifaceted concept of determin-ism within the domain of physics, scrutinizing prevalent definitions and classifications. Navigating through the nuances of deterministic behavior, we distinguish it from colloquial interpretations of "non-deterministic." By examining determin-ism through the lenses of natural laws, weak determinism, and strong determinism, we unravel the intricate relationship between predictability and the underlying mathematical structures of the universe. Classical mechanics serves as an exemplar of deterministic principles, while statistical mechanics introduces complexities that challenge simplistic classifications. (...) The interplay between ignorance and non-determinism emerges as a pivotal consideration, urging a nuanced understanding of deter-ministic frameworks amidst intricate systems. In essence, this exploration seeks to reconcile the richness of deterministic behavior with the complexities inherent in the natural world. (shrink)

Background: Emergentism as an ontology of consciousness leaves unanswered the question as to its mechanism. Aim: I aim to solve the Body-Mind problem by explaining how conscious organisms emerged on an evolutionary basis at various times in accordance with an accepted scientific principle, through a mechanism that cannot be understood, in principle. Proposal: The reason for this cloak of secrecy is found in a seeming contradiction in the behaviour of information with respect to the first two laws of thermodynamics. (...) Information, the microstate of particles within an isolated system’s macrostate, can, like first law energy, be neither created nor destroyed, yet the information in the system, like second law entropy, will inevitably increase. To explain information increasing without being created, Laplace’s demon is invoked, able to predict where each particle is destined. This doesn’t work for emerging events like consciousness, which are unpredictable. This can be understood in terms of the derivation of entropy, and the emergence of classical physics, from the Relativistic Transactional Interpretation of Quantum Mechanics. I propose that the increased entropy in a time-irreversible, unpredictable (emergent) isolated system requires the simultaneous deletion of information concerning the steps, or calculations, involved. Conclusion: Thus, the steps leading to consciousness are immediately destroyed and must remain a mystery. Implications include that entropy, not panpsychism, is the Universal principle generative of consciousness, that our being conscious proves that we are not predetermined, and that consciousness requires assuming an “entropy debt” that can only be repaid by living organisms, prohibiting the emergence of conscious machines. (shrink)

We review some of the main implications of the free-energy principle (FEP) for the study of the self-organization of living systems – and how the FEP can help us to understand (and model) biotic self-organization across the many temporal and spatial scales over which life exists. In order to maintain its integrity as a bounded system, any biological system - from single cells to complex organisms and societies - has to limit the disorder or dispersion (i.e., the long-run entropy) (...) of its constituent states. We review how this can be achieved by living systems that minimize their variational free energy. Variational free energy is an information theoretic construct, originally introduced into theoretical neuroscience and biology to explain perception, action, and learning. It has since been extended to explain the evolution, development, form, and function of entire organisms, providing a principled model of biotic self-organization and autopoiesis. It has provided insights into biological systems across spatiotemporal scales, ranging from microscales (e.g., sub- and multicellular dynamics), to intermediate scales (e.g., groups of interacting animals and culture), through to macroscale phenomena (the evolution of entire species). A crucial corollary of the FEP is that an organism just is (i.e., embodies or entails) an implicit model of its environment. As such, organisms come to embody causal relationships of their ecological niche, which, in turn, is influenced by their resulting behaviors. Crucially, free-energy minimization can be shown to be equivalent to the maximization of Bayesian model evidence. This allows us to cast natural selection in terms of Bayesian model selection, providing a robust theoretical account of how organisms come to match or accommodate the spatiotemporal complexity of their surrounding niche. In line with the theme of this volume; namely, biological complexity and self-organization, this chapter will examine a variational approach to self-organization across multiple dynamical scales. (shrink)

The Complex Emergent Model of Language Acquisition (CEMLA) offers a new perspective on how humans acquire language, drawing on principles from complexity theory to explain this dynamic, adaptive process. Moving beyond linear and reductionist models, CEMLA views language acquisition as a system of interconnected nodes, feedback loops, and emergent patterns, operating at the edge of chaos. This framework captures the fluidity and adaptivity of language learning, highlighting how understanding and fluency arise through self-organisation, phase transitions, and interaction with diverse linguistic (...) input. By embracing the complexity of language acquisition, CEMLA provides a comprehensive model that reflects the true nature of human communication. (shrink)

This is a book about evolution from a post-Darwinian perspective. It recounts the core ideas of French philosopher Henri Bergson and his rediscovery and legacy in the poststructuralist critical philosophies of the 1960s, and explores the confluences of these ideas with those of complexity theory in environmental biology. The failings in the development of systems theory, many of which complex systems theory overcomes, are retold; with Bergson, this book proposes, some of the rest may be overcome too. It asserts that (...) Bergson’s ideas can further our understanding of evolution, and of complex systems, and aid the work of scientists working in the field of ecological complexity. See http://www.creativeemergence.info/ for more detail and sample chapter. "The claim is that Bergson's notions of duration and élan vital resonate with and provide interesting metaphysical speculations complementing a process structuralist biology of the Goodwin and Kauffman stripe. This is certainly provocative and worth further thought. The key claim is that the openness and unpredictability of systems "at the edge of chaos" (where a system can be said to "choose" at bifurcation points in its state space) meets the Bergsonian desideratum of an open universe that takes irreversible time and evolutionary difference seriously. In particular, Kreps stresses the way Bergson's insistence on the differentiating force of élan vital (which Kreps successfully defends from the charge of a substantialist vitalism along the lines of Hans Dreisch) puts him in line with those who see natural selection as a secondary pruning of a primary differentiation." -John Protevi, Notre Dame Philosophical Reviews 2016.01.20 'This is no ordinary introduction to Henri Bergson. What David Kreps' excellent study gives us is Bergson, complexe: first, because there is no simple way to take (or leave) Bergson's ideas - his thought of durée, élan, and 'multiplicity' demands the most subtle and nuanced reading to give them their full justice; and second, because only by intertwining his ideas with the most up-to-date research in systems thinking, complexity theory, and poststructuralism can we begin to understand their absolute contemporaneity. Kreps' work does all this and more: it gives us the Bergson we need for today.' -John Mullarkey, author of Bergson and Philosophy 'Kreps' book is a thoroughly researched and well-written work that shows how Bergson's philosophy of evolution and time can also reinvigorate our ideas about complexity and organization in the natural and physical sciences.' -Stephen Crocker, author of Bergson and the Metaphysics of Media. (shrink)

Abstract: -/- This paper explores the relationship between time and information, proposing that time, rather than being a linear progression, emerges from the processing and interpretation of information within complex systems. Drawing on principles from quantum mechanics, information theory, and the philosophy of time, it examines how the perception of time is subjective and deeply influenced by consciousness, memory, and cultural context. In this framework, time dilation is framed not as a mere physical phenomenon but as a (...) lack of contrast in the flow of information, where systems in motion struggle to create meaning or distinction. Fundamental information, which underlies the laws of physics and the fabric of reality, is explored as an intrinsic force shaping time’s manifestation across scales—from quantum events to human perception. The paper also addresses the persistence of information beyond death, investigating how cultural, linguistic, and technological systems preserve and reinterpret information across generations, contributing to the evolution of consciousness. A mathematical model is proposed to integrate subjective time perception with information processing, offering a novel approach to understanding the nature of time and its role in shaping reality. By exploring these ideas, this work challenges traditional conceptions of time and presents new pathways for inquiry into the nature of consciousness, the universe, and the informational basis of existence. (shrink)

Moral reasoning traditionally distinguishes two types of evil:moral (ME) and natural (NE). The standard view is that ME is the product of human agency and so includes phenomena such as war,torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in cyberspace, (...) a new class of interesting and important examples of hybrid evil has come to light. In this paper, it is called artificial evil (AE) and a case is made for considering it to complement ME and NE to produce a more adequate taxonomy. By isolating the features that have led to the appearance of AE, cyberspace is characterised as a self-contained environment that forms the essential component in any foundation of the emerging field of Computer Ethics (CE). It is argued that this goes someway towards providing a methodological explanation of why cyberspace is central to so many of CE's concerns; and it is shown how notions of good and evil can be formulated in cyberspace. Of considerable interest is how the propensity for an agent's action to be morally good or evil can be determined even in the absence of biologically sentient participants and thus allows artificial agents not only to perpetrate evil (and fort that matter good) but conversely to `receive' or `suffer from' it. The thesis defended is that the notion of entropy structure, which encapsulates human value judgement concerning cyberspace in a formal mathematical definition, is sufficient to achieve this purpose and, moreover, that the concept of AE can be determined formally, by mathematical methods. A consequence of this approach is that the debate on whether CE should be considered unique, and hence developed as a Macroethics, may be viewed, constructively,in an alternative manner. The case is made that whilst CE issues are not uncontroversially unique, they are sufficiently novel to render inadequate the approach of standard Macroethics such as Utilitarianism and Deontologism and hence to prompt the search for a robust ethical theory that can deal with them successfully. The name Information Ethics (IE) is proposed for that theory. Itis argued that the uniqueness of IE is justified by its being non-biologically biased and patient-oriented: IE is an Environmental Macroethics based on the concept of data entity rather than life. It follows that the novelty of CE issues such as AE can be appreciated properly because IE provides a new perspective (though not vice versa). In light of the discussion provided in this paper, it is concluded that Computer Ethics is worthy of independent study because it requires its own application-specific knowledge and is capable of supporting a methodological foundation, Information Ethics. (shrink)

Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can help us better understand the nature (...) of complex systems in general. -/- Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. "How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like "what makes a system complex?" also fall into this category. There are a number of existing definitions of `complexity,' and while all of them capture some aspects of what makes intuitively complex systems distinctive, none is entirely satisfactory. Most existing accounts of complexity have been developed to work with information-theoretic objects (signals, for instance) rather than the physical and social systems studied by scientists. -/- Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of "effective complexity" developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as a framework for thinking about general problems in the philosophy of science, including theories, explanation, and lawhood. -/- Methodological questions include questions about how climate science constructs its models, on what basis we trust those models, and how we might improve those models. In order to answer questions about climate modeling, it's important to understand what climate models look like and how they are constructed. Climate model families are significantly more diverse than are the model families of most other sciences (even sciences that study other complex systems). Existing climate models range from basic models that can be solved on paper to staggeringly complicated models that can only be analyzed using the most advanced supercomputers in the world. I introduce some of the central concepts in climatology by demonstrating how one of the most basic climate models might be constructed. I begin with the assumption that the Earth is a simple featureless blackbody which receives energy from the sun and releases it into space, and show how to model that assumption formally. I then gradually add other factors (e.g. albedo and the greenhouse effect) to the model, and show how each addition brings the model's prediction closer to agreement with observation. After constructing this basic model, I describe the so-called "complexity hierarchy" of the rest of climate models, and argue that the sense of "complexity" used in the climate modeling community is related to dynamical complexity. -/- With a clear understanding of the basics of climate modeling in hand, I then argue that foundational issues discussed early in the dissertation suggest that computation plays an irrevocably central role in climate modeling. "Science by simulation" is essential given the complexity of the global climate, but features of the climate system--the presence of non-linearities, feedback loops, and chaotic dynamics--put principled limits on the effectiveness of computational models. This tension is at the root of the staggering pluralism of the climate model hierarchy, and suggests that such pluralism is here to stay, rather than an artifact of our ignorance. Rather than attempting to converge on a single "best fit" climate model, we ought to embrace the diversity of climate models, and view each as a specialized tool designed to predict and explain a rather narrow range of phenomena. Understanding the climate system as a whole requires examining a number of different models, and correlating their outputs. This is the most significant methodological challenge of climatology. -/- Climatology's role contemporary political discourse raises an unusually high number of evaluative questions for a physical science. The two leading approaches to crafting policy surrounding climate change center on mitigation (i.e. stopping the changes from occurring) and adaptation (making post hoc changes to ameliorate the harm caused by those changes). Crafting an effective socio-political response to the threat of anthropogenic climate change, however, requires us to integrate multiple perspectives and values: the proper response will be just as diverse and pluralistic as the climate models themselves, and will incorporate aspects of both approaches. I conclude by offering some concrete recommendations about how to integrate this value pluralism into our socio-political decision making framework. (shrink)

The enduring problem of free will has defied resolution across centuries. There is reason to believe that novel factors must be integrated into the analysis to make progress. Within the current physicalist framework, these factors encompass emergence and information theory, in the context of constraints imposed by physical limits on the representation of information. Furthermore the common, but vague, characterization of free will as 'being able to act differently' is rephrased into an explicatum more suitable for formal analysis. (...) It is argued that the mind is an ontologically open system; a causal high-level system, the dynamics of which cannot be reduced to the states of its associated low-level neural systems, not even if it is rendered physically closed. A positive answer to the question of free will for conscious agents is subsequently outlined. (shrink)

In the late 19th century Husserl studied our internal sense of time passing, maintaining that its deep connections into experience represent prima facie evidence for it as the basis for all investigations in the sciences: Phenomenology was born. Merleau-Ponty focused on perception pointing out that any theory of experience must in accord with established aspects of biology i.e. embodied. Recent analyses suggest that theories of experience require non-reductive, integrative information, together with a specific property connecting them to experience. Here (...) we elucidate a new class of information states with just such properties found at the loci of control of complex biological systems, including nervous systems. Complexity biology concerns states satisfying self-organized criticality. Such states are located at critical instabilities, commonly observed in biological systems, and thought to maximize information diversity and processing, and hence to optimize regulation. Major results for biology follow: why organisms have unusually low entropies; and why they are not merely mechanical. Criticality states form singular self-observing systems, which reduce wave packets by processes of perfect self-observation associated with feedback gain g=1. Analysis of their information properties leads to identification of a new kind of information state with high levels of internal coherence, and feedback loops integrated into their structure. The major idea presented here is that the integrated feedback loops are responsible for our ‘sense of self’, and also the feeling of continuity in our sense of time passing. Long-range internal correlations guarantee a unique kind of non-reductive, integrative information structure enabling such states to naturally support phenomenal experience. Being founded in complexity biology, they are ‘embodied’; they also fulfill the statement that ‘The self is a process’, a singular process. High internal correlations and RenéThom-style catastrophes support non-digital forms of information, gestalt cognition, and information transfer via quantum teleportation. Criticality in complexity biology can ‘embody’ cognitive states supporting gestalts, and phenomenology’s senses of ‘self,’ time passing, existence and being. (shrink)

When you type the word “serendipity” in a word-processor application such as Microsoft Word, the autocorrection engine suggests you choose other words like “luck” or “fate”. This correcting act turns out to be incorrect. However, it points to the reality that serendipity is not a familiar English word and can be misunderstood easily. Serendipity is a very much scientific concept as it has been found useful in numerous scientific discoveries, pharmaceutical innovations, and numerous humankind’s technical and technological advances. Therefore, there (...) have been many books written around the concept. So why do we need this additional book? This is not just another book about serendipity. It has evolved from the Editor’s question lingering for a decade after finishing his widely cited article (coauthored with Prof. Nancy K. Napier of Boise State University, ID, USA) “Serendipity as a strategic advantage?” in T. Wilkinson’s edited volume Strategic Management in the 21st Century, published by Praeger. The Editor and contributing authors have tried to achieve the following in this title. Demystifying the Serendipity Myth The phenomenon of serendipity has always been thought of as a “miracle”. It is the mystery of human innovation and one of the ultimate secrets of our society. But serendipity is not just a lucky coincidence nor any hidden conspiracy. This book explores the science of the information process behind this seemingly miraculous phenomenon. It connects human society with nature, going back to the root of our existence and looking at the flame of survival to discover the harmony in making creativity. Presenting the nuts and bolts of being an adventurer of science The authors present their conceptual investigations into serendipity’s nature and its mechanism by examining interesting real events and stories. The content is thought-provoking, and readers are led to question and explore their own life stories and problems along the journey of reading this book. Catching an elusive high-value target requires great strategies and efforts. But there are no dark secrets here because this is the “way of nature” – how we humans have always strived for innovation without realizing the blueprints behind such processes. Unlike other books on serendipity, this book will show you that a powerful “secret” is closer than you think. Delivering practical uses for different audiences By understanding the conditionality and survival drivers of serendipity, individuals or organizations can make better decisions on creating the right environment to facilitate the encounter and attainment of this valuable phenomenon. For scientists: With clear explanations of the information processes underlying serendipity, flexible theoretical frameworks of mindsponge and the 3D principle of creativity, researchers are provided with the tools they need to dig deeper into their own fields of study and find practical applications, be it psychology, economics, sociology, or anything that involves innovation (which is, in fact, every scientific discipline). For curious casual readers: Everybody needs innovation to make breakthroughs or spice up one’s life. If you think great ideas come to people randomly from an unknown fairy place, this book will convince you otherwise without taking away that awe and wonder. But above all, you will know how to become more creative, scientifically and straightforwardly, with no snake oil and no weird tricks. For ambitious business people: The flame that brought about great successes throughout human history is within you. But you can only use it if you understand it. While others wait for serendipity to come, you will be able to actively hunt for those precious moments. As it has always been: the best hunters triumph, not the passive wanderers. And in this age of information chaos, finding the golden fruits is not easy. Those from information technology know this problem well, and this book is the treasure map that they have been seeking to navigate that stormy ocean looking for jewels. Like a kingfisher tracking its prey through the water, waiting to gracefully strike, with serendipity, a person seizes the prize of creativity amid the chaos of life. ¤ ¤ ¤ Official introduction: The book explores the nature, underlying causes, and the information processing mechanism of serendipity. It proposes that natural or social survival demands drive serendipity, and serendipity is conditional on the environment and the mindset, on both individual and collective levels. From Darwin's evolution theory to Sun Tzu's war tactics, major innovations throughout human history are unified by this key concept. In the rapidly changing world, information is abundant but rather chaotic. The adaptive power of serendipity allows people to notice treasures within this wild sea, but only for those who understand how it works. To increase the probability of encountering and attaining serendipity, one should employ the mindsponge mechanism and the 3D process of creativity, for without these frameworks, serendipity is truly an elusive target. The book also discusses methods to build environments and cultures rich in navigational and useful information to maximize the chance of finding and capitalizing on serendipity. As a skill, serendipity has a resemblance to how kingfishers observe and hunt their prey. (shrink)

Instead of postulated fixed structures and abstract principles of usual positivistic science, the unreduced diversity of living world reality is consistently derived as dynamically emerging results of unreduced interaction process development, starting from its simplest configuration of two coupled homogeneous protofields. The dynamically multivalued, or complex and intrinsically chaotic, nature of these real interaction results extends dramatically the artificially reduced, dynamically single-valued projection of standard theory and solves its stagnating old and accumulating new problems, “mysteries” and “paradoxes” within the unified (...) and causally complete picture of intrinsically evolving, dynamically complex reality. The permanently unfolding complexity progress thus revealed is fundamentally unlimited and does not need to stop at the directly observed diversity of usual matter complexity. The exciting, but rigorously substantiated and objectively inevitable prospects of further civilisation complexity development towards its superior levels of genuine sustainability and global Noosphere are outlined, with practically important conclusions for today’s critical problem solution. (shrink)

This paper is an attempt to lay out foundations for a general theory of coincidence in information spaces such as the World Wide Web, expanding on existing work on bursty structures in document streams and information cascades. We elaborate on the hypothesis that every resource that is published in an information space, enters a temporary interaction with another resource once a unique explicit or implicit reference between the two is found. This thought is motivated by Erwin Shroedingers (...) notion of entanglement between quantum systems. We present a generic information cascade model that exploits only the temporal order of information sharing activities, combined with inherent properties of the shared information resources. The approach was applied to data from the world's largest online citizen science platform Zooniverse and we report about findings of this case study. (shrink)

This insight to art came from chess composition concentrating art in a very dense form. To identify and mathematically assess the uniqueness is the key applicable to other areas eg. computer programming. Maximization of uniqueness is minimization of entropy that coincides as well as goes beyond Information Theory (Shannon, 1948). The reusage of logic as a universal principle to minimize entropy, requires simplified architecture and abstraction. Any structures (e.g. plugins) duplicating or dividing functionality increase entropy and (...) so unreliability (eg. British Airways IT system). The ideas here were verified by my chess compositions, art works and complex information system as an author of each co uk, and were presented at conferences in Santorini, Adelaide, Geneva, Daejon and virtually. (shrink)

The Chirality of Dynamic Emergent Systems (CODES) introduces a revolutionary perspective on the interplay between chaos and order, proposing that reality operates through a chiral balance of emergent systems constrained by adaptive equilibrium. This paper applies CODES to the most fundamental challenge in physics: the reconciliation of quantum mechanics and general relativity. By framing these domains as emergent systems connected through chirality, CODES resolves long-standing paradoxes, provides a pathway for unification, and offers insights into the nature of consciousness, entropy, (...) and causality. (shrink)

The tension between free will and determinism has long been a cornerstone of philosophical debate. This paper proposes that the Chiral Dynamics of Emergent Systems (CODES) provides a novel framework to resolve this dichotomy. By conceptualizing reality as a chiral equilibrium of order and chaos, where emergent systems adapt and evolve within constraints, CODES reveals that free will and determinism are not opposites but complementary facets of the same dynamic system. The theory posits that human decision-making operates as a localized (...) equilibrium, influenced by deterministic structures while allowing degrees of adaptive agency. (shrink)

This paper presents a unified theory of reality, which integrates two interdependent frameworks: Cellular Primary Consciousness Theory (CPCT) and Open and Closed Systems Theory (OCST). Although CPCT and OCST can each stand as individual theories, they are, in this work, combined to form a cohesive explanation of both the mechanics and purpose of the universe. CPCT posits that consciousness is a fundamental aspect of all life, extending to even the simplest cells, rather than being an emergent property exclusive to complex (...) neural systems. Drawing upon evidence from quantum mechanics, cell biology, and systems theory, CPCT challenges traditional views on the origins of consciousness by suggesting that awareness is a universal property present from the cellular level. OCST, which forms the second component of this unified theory, examines the nature of the universe as a closed system subject to the laws of entropy. This theory explores how the universe is moving toward maximum entropy, where meaning and contrasts dissolve. However, beyond this closed system lies the realm of an open system—a domain of infinite potential that transcends the dualities and limitations of the physical universe. This open system offers a philosophical explanation for existence and the possibility of eternal meaning. Together, these two theories provide a novel and cohesive framework that addresses both the mechanics of consciousness and the ultimate purpose of the universe. The integration of CPCT and OCST bridges scientific evidence from quantum biology and systems theory with philosophical explorations of existence, presenting a comprehensive vision of reality as both a closed physical system and an open metaphysical one. This unified theory encourages a reexamination of our place in the cosmos, suggesting that beyond the observable universe lies an infinite realm of potential where consciousness and meaning endure. (shrink)

After two centuries, the Diltheyan idea of the incommensurability of the natural and social sciences remains hegemonic. Alternative visions have since been overlooked; in this regard, the Baden neo-Kantian school showed that any divergence concerns implied method and not the phenomenal object of studies. W. Windelband coined the terms “nomological” and “idiographic” to underline how each discipline can be explained as a science of both law and events. To begin, I will show how complex thinking can expand and institute a (...) general integrative frame that overcomes the assumed incommensurability. By “complex,” I mean an anti-reductionist approach to understanding and a consequent ability to reveal the phenomenal world in terms of nested self-organized systems. Social and natural systems are persistent coalescences of individual entities showing series of interduality such as unicity and multiplicity, top-down conservation and bottom-up inno- vation, constraint of law and freedom of agencies. The two instances are maintained together by the rejection of abstracted and isolated concepts and the embrace of a general principle of indeterminacy resolving the apparent contradiction within the parallelization of the extremes as two different moments of analyses rooted in the social and natural classical methods. This paper considers both a) the Positivist attempt in the XIX century to approach the study of social phenomena in terms of law and b) the emergence of a general social science embracing the principle of acasuality, adapted from the study of the subatomic phenomenal world in quantum theory. Finally, this paper sketches how complex methodology can address historical and social studies with system theory in order to overcome classical dualities such as determinism vs. freedom, social vs. individual, and top down conservation vs. bottom up innovation in the form of an integrative parallelization. (shrink)

Moral reasoning traditionally distinguishes two types of evil: moral and natural. The standard view is that ME is the product of human agency and so includes phenomena such as war, torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in cyberspace, (...) a new class of interesting and important examples of hybrid evil has come to light. In this paper, it is called artificial evil and a case is made for considering it to complement ME and NE to produce a more adequate taxonomy. By isolating the features that have led to the appearance of AE, cyberspace is characterised as a self-contained environment that forms the essential component in any foundation of the emerging field of Computer Ethics. It is argued that this goes some way towards providing a methodological explanation of why cyberspace is central to so many of CE’s concerns; and it is shown how notions of good and evil can be formulated in cyberspace. Of considerable interest is how the propensity for an agent’s action to be morally good or evil can be determined even in the absence of biologically sentient participants and thus allows artificial agents not only to perpetrate evil but conversely to ‘receive’ or ‘suffer from’ it. The thesis defended is that the notion of entropy structure, which encapsulates human value judgement concerning cyberspace in a formal mathematical definition, is sufficient to achieve this purpose and, moreover, that the concept of AE can be determined formally, by mathematical methods. A consequence of this approach is that the debate on whether CE should be considered unique, and hence developed as a Macroethics, may be viewed, constructively, in an alternative manner. The case is made that whilst CE issues are not uncontroversially unique, they are sufficiently novel to render inadequate the approach of standard Macroethics such as Utilitarianism and Deontologism and hence to prompt the search for a robust ethical theory that can deal with them successfully. The name Information Ethics is proposed for that theory. It is argued that the uniqueness of IE is justified by its being non-biologically biased and patient-oriented: IE is an Environmental Macroethics based on the concept of data entity rather than life. It follows that the novelty of CE issues such as AE can be appreciated properly because IE provides a new perspective. In light of the discussion provided in this paper, it is concluded that Computer Ethics is worthy of independent study because it requires its own application-specific knowledge and is capable of supporting a methodological foundation, Information Ethics. (shrink)

Gödel's Philosophical Legacy Kurt Gödel's contributions to philosophy extend beyond his incompleteness theorems. He engaged deeply with the work of other philosophers, including Immanuel Kant and Edmund Husserl, and explored topics such as the nature of time, the structure of the universe, and the relationship between mathematics and reality. Gödel's philosophical writings, though less well-known than his mathematical work, offer rich insights into his views on the nature of existence, the limits of human knowledge, and the interplay between the finite (...) and the infinite. His work continues to inspire and challenge philosophers, mathematicians, and scientists, inviting them to explore the profound and often enigmatic questions at the heart of human understanding. -/- Kurt Gödel's Broader Contributions to Philosophy Kurt Gödel, while primarily known for his monumental incompleteness theorems, made significant contributions that extended beyond the realm of mathematical logic. His philosophical pursuits deeply engaged with the works of eminent philosophers like Immanuel Kant and Edmund Husserl. Gödel's explorations into the nature of time, the structure of the universe, and the relationship between mathematics and reality reveal a profound and multifaceted intellectual legacy. -/- Engagement with Immanuel Kant Gödel held a deep interest in the philosophy of Immanuel Kant. He admired Kant's critical philosophy, particularly the distinction between the noumenal and phenomenal worlds. Kant posited that human experience is shaped by the mind’s inherent structures, leading to the conclusion that certain aspects of reality (the noumenal world) are fundamentally unknowable. Gödel’s incompleteness theorems echoed this Kantian theme, illustrating the limits of formal systems in capturing the totality of mathematical truth. Gödel believed that mathematical truths exis t independently of human thought, akin to Kant's noumenal realm. This philosophical alignment provided a robust foundation for Gödel's Platonism, which asserted the existence of mathematical objects as real, albeit abstract, entities. -/- Influence of Edmund Husserl Gödel was also profoundly influenced by Edmund Husserl, the founder of phenomenology. Husserl's phenomenology emphasizes the direct investigation and description of phenomena as consciously experienced, without preconceived theories about their causal explanation. Gödel saw Husserl's work as a pathway to bridge the gap between the abstract world of mathematics and concrete human experience. Husserl's ideas about the structures of consciousness and the intentionality of thought resonated with Gödel's views on mathematical intuition. Gödel believed that human minds could access mathematical truths through intuition, a concept that draws on Husserlian phenomenological methods. -/- The Nature of Time and the Universe Gödel's philosophical inquiries extended to the nature of time and the structure of the universe. His collaboration with Albert Einstein at the Institute for Advanced Study led to the development of the "Gödel metric" in 1949. This solution to Einstein's field equations of general relativity described a rotating universe where time travel to the past was theoretically possible. Gödel's model challenged conventional notions of time and causality, suggesting that the universe might have a more intricate structure than previously thought. Gödel's exploration of time was not just a mathematical curiosity but a profound philosophical statement about the nature of reality. He questioned whether time was an objective feature of the universe or a construct of human consciousness. His work hinted at a timeless realm of mathematical truths, aligning with his Platonist view. -/- Mathematics and Reality Gödel's philosophical outlook extended to the broader relationship between mathematics and reality. He believed that mathematics provided a more profound insight into the nature of reality than empirical science. For Gödel, mathematical truths were timeless and unchangeable, existing independently of human cognition. This perspective led Gödel to critique the materialist and mechanistic views that dominated 20th-century science and philosophy. He argued that a purely physicalist interpretation of the universe failed to account for the existence of abstract mathematical objects and the human capacity to understand them. Gödel's philosophy suggested a more integrated view of reality, where both physical and abstract realms coexist and inform each other. -/- Gödel's Exploration of Time Kurt Gödel, one of the most profound logicians of the 20th century, ventured beyond the confines of mathematical logic to explore the nature of time. His inquiries into the concept of time were not merely theoretical musings but were grounded in rigorous mathematical formulations. Gödel's exploration of time challenged conventional views and opened new avenues of thought in both physics and philosophy. -/- Gödel and Einstein Gödel’s interest in the nature of time was significantly influenced by his friendship with Albert Einstein. Both were faculty members at the Institute for Advanced Study in Princeton, where they engaged in deep discussions about the nature of reality, time, and space. Gödel's exploration of time culminated in his solution to Einstein's field equations of general relativity, known as the Gödel metric. -/- The Gödel Metric In 1949, Gödel presented a model of a rotating universe, which became known as the Gödel metric. This solution to the equations of general relativity depicted a universe where time travel to the past was theoretically possible. Gödel’s rotating universe contained closed timelike curves (CTCs), paths in spacetime that loop back on themselves, allowing for the possibility of traveling back in time. The Gödel metric posed a significant philosophical challenge to the conventional understanding of time. If time travel were possible, it would imply that time is not linear and absolute, as commonly perceived, but rather malleable and subject to the geometry of spacetime. This raised profound questions about causality, the nature of temporal succession, and the very structure of reality. -/- Philosophical Implications Gödel’s exploration of time extended beyond the mathematical implications to broader philosophical inquiries: Nature of Time: Gödel questioned whether time was an objective feature of the universe or a construct of human consciousness. His work suggested that our understanding of time as a linear progression from past to present to future might be an illusion, shaped by the limitations of human perception. -/- Causality and Free Will: The existence of closed timelike curves in Gödel’s model raised questions about causality and free will. If one could travel back in time, it would imply that future events could influence the past, potentially leading to paradoxes and challenging the notion of a deterministic universe. -/- Temporal Ontology: Gödel's work contributed to debates in temporal ontology, particularly the debate between presentism (the view that only the present exists) and eternalism (the view that past, present, and future all equally exist). Gödel’s rotating universe model seemed to support eternalism, suggesting a block universe where all points in time are equally real. Philosophy of Science: Gödel’s exploration of time had implications for the philosophy of science, particularly in the context of understanding the limits of scientific theories. His work underscored the importance of considering philosophical questions when developing scientific theories, as they shape our fundamental understanding of concepts like time and space. -/- Legacy Gödel’s exploration of time remains a significant and controversial contribution to both physics and philosophy. His work challenged established notions and encouraged deeper inquiries into the nature of reality. Gödel’s rotating universe model continues to be a topic of interest in theoretical physics and cosmology, inspiring new research into the nature of time and the possibility of time travel. In philosophy, Gödel’s inquiries into time have prompted ongoing debates about the nature of temporal reality, the relationship between mathematics and physical phenomena, and the limits of human understanding. His work exemplifies the intersection of mathematical rigor and philosophical inquiry, demonstrating the profound insights that can emerge from such an interdisciplinary approach. The Temporal Ontology of Kurt Gödel Kurt Gödel's profound contributions to mathematics and logic extend into the realm of temporal ontology—the philosophical study of the nature of time and its properties. Gödel's insights challenge conventional perceptions of time and suggest a more intricate, layered understanding of temporal reality. This essay explores Gödel's contributions to temporal ontology, particularly through his engagement with relativity and his philosophical reflections. -/- Gödel's Rotating Universe One of Gödel’s most notable contributions to temporal ontology comes from his work in cosmology, specifically his solution to Einstein’s field equations of general relativity, known as the Gödel metric. Introduced in 1949, the Gödel metric describes a rotating universe with closed timelike curves (CTCs). These curves imply that, in such a universe, time travel to the past is theoretically possible, presenting a significant challenge to conventional views of linear, unidirectional time. -/- Implica tions for Temporal Ontology Gödel's rotating universe model has profound implications for our understanding of time: Eternalism vs. Presentism: Gödel’s model supports the philosophical stance known as eternalism, which posits that past, present, and future events are equally real. In contrast to presentism, which holds that only the present moment exists, eternalism suggests a "block universe" where time is another dimension like space. Gödel’s rotating universe, with its CTCs, reinforces this view by demonstrating that all points in time could, in principle, be interconnected in a consistent manner. Non-linearity of Time: The possibility of closed timelike curves challenges the idea of time as a linear sequence of events. In Gödel’s universe, time is not merely a straight path from past to future but can loop back on itself, allowing for complex interactions between different temporal moments. This non-linearity has implications for our understanding of causality and the nature of temporal succession. Objective vs. Subjective Time: Gödel’s work invites reflection on the distinction between objective time (the time that exists independently of human perception) and subjective time (the time as experienced by individuals). His model suggests that our subjective experience of a linear flow of time may not correspond to the objective structure of the universe. This raises questions about the relationship between human consciousness and the underlying temporal reality. -/- Gödel and Philosophical Reflections on Time Gödel’s engagement with temporal ontology was not limited to his cosmological work. He also reflected deeply on philosophical questions about the nature of time and reality, drawing on the ideas of other philosophers and integrating them into his own thinking. Kantian Influences: Gödel was influenced by Immanuel Kant’s distinction between the noumenal world (things as they are in themselves) and the phenomenal world (things as they appear to human observers). Gödel’s views on time echoed this distinction, suggesting that our perception of time might be a phenomenon shaped by the limitations of human cognition, while the true nature of time (the noumenal aspect) might be far more complex and non-linear. Husserlian Phenomenology: Gödel’s interest in Edmund Husserl’s phenomenology also informed his views on time. Husserl’s emphasis on the structures of consciousness and the intentionality of thought resonated with Gödel’s belief in the importance of intuition in accessing mathematical truths. Gödel’s reflections on time incorporated a phenomenological perspective, considering how temporal experience is structured by human consciousness. Mathematical Platonism: Gödel’s Platonist views extended to his understanding of time. Just as he believed in the independent existence of mathematical objects, Gödel saw time as an objective entity with a structure that transcends human perception. His work on the Gödel metric can be seen as an attempt to uncover this objective structure, revealing the deeper realities that underlie our experience of time. (shrink)

It is usual to identify initial conditions of classical dynamical systems with mathematical real numbers. However, almost all real numbers contain an infinite amount of information. I argue that a finite volume of space can’t contain more than a finite amount of information, hence that the mathematical real numbers are not physically relevant. Moreover, a better terminology for the so-called real numbers is “random numbers”, as their series of bits are truly random. I propose an alternative classical mechanics, (...) which is empirically equivalent to classical mechanics, but uses only finite-information numbers. This alternative classical mechanics is non-deterministic, despite the use of deterministic equations, in a way similar to quantum theory. Interestingly, both alternative classical mechanics and quantum theories can be supplemented by additional variables in such a way that the supplemented theory is deterministic. Most physicists straightforwardly supplement classical theory with real numbers to which they attribute physical existence, while most physicists reject Bohmian mechanics as supplemented quantum theory, arguing that Bohmian positions have no physical reality. (shrink)

There are (at least) three approaches to quantifying information. The first, algorithmic information or Kolmogorov complexity, takes events as strings and, given a universal Turing machine, quantifies the information content of a string as the length of the shortest program producing it [1]. The second, Shannon information, takes events as belonging to ensembles and quantifies the information resulting from observing the given event in terms of the number of alternate events that have been ruled out (...) [2]. The third, statistical learning theory, has introduced measures of capacity that control (in part) the expected risk of classifiers [3]. These capacities quantify the expectations regarding future data that learning algorithms embed into classifiers. Solomonoff and Hutter have applied algorithmic information to prove remarkable results on universal induction. Shannon information provides the mathematical foundation for communication and coding theory. However, both approaches have shortcomings. Algorithmic information is not computable, severely limiting its practical usefulness. Shannon information refers to ensembles rather than actual events: it makes no sense to compute the Shannon information of a single string – or rather, there are many answers to this question depending on how a related ensemble is constructed. Although there are asymptotic results linking algorithmic and Shannon information, it is unsatisfying that there is such a large gap – a difference in kind – between the two measures. This note describes a new method of quantifying information, effective information, that links algorithmic information to Shannon information, and also links both to capacities arising in statistical learning theory [4, 5]. After introducing the measure, we show that it provides a non-universal analog of Kolmogorov complexity. We then apply it to derive basic capacities in statistical learning theory: empirical VC-entropy and empirical Rademacher complexity. A nice byproduct of our approach is an interpretation of the explanatory power of a learning algorithm in terms of the number of hypotheses it falsifies [6], counted in two different ways for the two capacities. We also discuss how effective information relates to information gain, Shannon and mutual information. (shrink)

The Future of Individuality in a Universally Connected Intelligence System -/- Introduction -/- The concept of individuality has long been central to human existence, shaping our identities, intelligence, and decision-making. However, if information were universally accessible to every biological brain via quantum computers, the nature of individuality would fundamentally change. While thermodynamics suggests that individuality may be an illusion, the emergence of a universally shared knowledge system would challenge our understanding of intelligence, creativity, and free will. This essay explores (...) how such a system would affect human cognition, decision-making, creativity, and identity while considering its alignment with natural laws and homeostasis. -/- Individuality and the Laws of Thermodynamics -/- From a thermodynamic perspective, individuality is not an independent phenomenon but an emergent property of energy, matter, and information processing. The second law of thermodynamics states that systems naturally move toward increased entropy, yet biological brains counteract this by organizing energy and information. Each person’s intelligence develops uniquely due to different experiences, environments, and biological structures, following the laws of complexity and adaptation. -/- Despite these differences, individuality may be an illusion when viewed through the lens of thermodynamics. Human brains function as open systems, constantly exchanging energy and information with their environment. If all individuals had direct access to the same universal information via quantum computing, the differentiation in intelligence caused by personal learning and memory would be minimized. The uniqueness of individual cognition, shaped by life experiences, would be transformed into a more standardized, universally connected intelligence. -/- The Effect on Cognitive Differences and Decision-Making -/- Currently, human intelligence is shaped by a combination of genetics, environmental influences, and personal experiences. However, if quantum computing enabled instant and equal access to all knowledge, the factors that create cognitive diversity would be significantly reduced. In such a scenario, decision-making would shift from being influenced by personal biases and incomplete knowledge to being guided by a universally shared understanding of facts, consequences, and natural laws. -/- This raises the question: would free will still exist? If every person had access to the same knowledge base and predictive models, decisions might become more deterministic, driven by logical outcomes rather than personal reasoning. While this could reduce errors and societal conflicts, it might also challenge the perception of autonomy, making personal choice seem more like an illusion than a reality. -/- Impact on Creativity and Innovation -/- Creativity has traditionally been seen as a product of individual thought processes, shaped by unique experiences and perspectives. If knowledge were universally accessible, would creativity still exist? One possibility is that creativity would shift from being an individual phenomenon to an emergent property of collective intelligence. Instead of drawing from personal experiences, new ideas could arise from collaborative interactions with the universal knowledge system. -/- On the other hand, if individuality persists at a neural level—perhaps influenced by variations in neural architecture, emotional states, or subconscious processes—then creativity might evolve into a new form. Rather than being limited by personal knowledge, individuals could use their unique cognitive structures to interpret and apply universal knowledge in novel ways. -/- The Transformation of Personal Identity -/- Identity is often defined by personal achievements, expertise, and knowledge. If quantum computing provided instant access to all human knowledge, traditional concepts of learning, expertise, and mastery might become obsolete. Instead of being defined by what one knows, identity might be shaped by how one chooses to interact with the collective intelligence system. -/- This could lead to two possible outcomes: -/- 1. A more unified human society where knowledge gaps no longer create social or economic disparities. -/- 2. A psychological challenge, as individuals struggle with a loss of personal uniqueness and purpose. -/- Would human beings still feel a sense of individuality if everyone had the same knowledge and understanding? Or would personal identity be redefined by new forms of expression, emotional depth, and subjective experiences? -/- Potential Resistance and Psychological Conflicts -/- Not all individuals would easily accept a universally connected intelligence system. Some might resist integration, fearing the loss of personal autonomy or questioning the ethical implications of such a system. The psychological impact of merging individual cognition with a collective intelligence could lead to existential dilemmas, as humans redefine their roles in society. -/- Moreover, there could be unforeseen consequences, such as the manipulation of universal knowledge by those who control the system. If the flow of information were regulated, the promise of a universally connected intelligence could turn into a form of centralized control, limiting true intellectual freedom. -/- Homeostasis and the Balance of Universal Knowledge -/- From the perspective of natural balance, a universally connected intelligence system could be seen as an extension of the homeostatic principle. Just as the human body regulates internal stability, a universal intelligence network could regulate societal balance, reducing ignorance, misinformation, and destructive decision-making. -/- However, if homeostasis is disrupted—if individuals lose the ability to process knowledge uniquely or if the system becomes too rigid—then humanity might face unintended consequences. True balance requires adaptability, diversity, and self-regulation. The challenge would be ensuring that universal intelligence enhances, rather than diminishes, the dynamic equilibrium that allows individuality to thrive within a collective framework. -/- Conclusion -/- The integration of biological brains with a universally accessible quantum computing system would redefine individuality, intelligence, and decision-making. While it could eliminate knowledge-based disparities and enhance collective intelligence, it might also challenge free will, creativity, and personal identity. Whether such a transformation aligns with natural laws depends on how well it maintains homeostasis—balancing collective knowledge with individual autonomy. -/- Would this system create a more enlightened humanity, or would it erase the very essence of what makes us human? The answer lies in how this universal intelligence is designed, regulated, and integrated into the fabric of human society. -/- . (shrink)

While evidence strongly suggests a deterministic universe, the question of free will remains one of humanity's most complex and nuanced philosophical challenges. This paper examines the tension between deterministic principles and the persistent question of genuine free will, acknowledging both the compelling evidence for determinism and the remaining uncertainties that warrant continued scientific and philosophical inquiry.

Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an explicative model (...) of some adaptive constraints. Due to the generality of Kolchinsky and Wolpert’s hypotheses, I highlight some fundamental gaps between the results in current Artificial Intelligence and the semantic structures in human beings. In light of the consequences of my model, I conclude the paper by proposing a general definition of knowledge in probabilistic terms, overturning de Finetti’s Subjectivist Definition of Probability. (shrink)

Recently, the AISDL Team has integrated insights from quantum mechanics and information theories to propose a foundational understanding of information-value nexus in social sciences: Granular Interaction Thinking Theory. This marks a significant milestone in the team’s ongoing pursuit of deeper inquiries into the nature of value. Specifically, this theory posits that value emerges from interactions of information that reduce entropy in ways beneficial to human survival, development, and reproduction.

This article explores the transformative impact of artificial intelligence on deterrence theory, introducing 10 groundbreaking concepts that are reshaping global security dynamics. As traditional deterrence strategies face challenges in an increasingly complex and interconnected world, these innovative approaches leverage AI, complex systems theory, and emerging technologies to create more sophisticated and adaptive deterrence mechanisms. From Chaos Deterrence, which harnesses unpredictability, to Möbius Deterrence, which blurs the lines between offense and defense, these concepts represent a paradigm shift in conflict prevention and (...) strategic stability. The article examines each concept in detail, discussing their potential applications, historical precedents, and contemporary relevance. It also addresses the ethical implications, challenges, and potential risks associated with implementing these AI-driven deterrence strategies. By analyzing these cutting-edge concepts, the article provides valuable insights into the future of global security in the age of artificial intelligence. (shrink)

In this paper, we investigate a method for constructing cascades of information co-occurrence, which is suitable to trace emergent structures in information in scenarios where rich contextual features are unavailable. Our method relies only on the temporal order of content-sharing activities, and intrinsic properties of the shared content itself. We apply this method to analyse information dissemination patterns across the active online citizen science project Planet Hunters, a part of the Zooniverse platform. Our results lend insight into (...) both structural and informational properties of different types of identifiers that can be used and combined to construct cascades. In particular, significant differences are found in the structural properties of information cascades when hashtags as used as cascade identifiers, compared with other content features. We also explain apparent local information losses in cascades in terms of information obsolescence and cascade divergence; e.g., when a cascade branches into multiple, divergent cascades with combined capacity equal to the original. (shrink)

Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, differences and distinguishability and is formalized using the distinctions of a partition. All the definitions of simple, joint, conditional and mutual entropy of Shannon information theory are derived by a uniform transformation from the corresponding definitions at the logical level. The (...) purpose of this paper is to give the direct generalization to quantum logical information theory that similarly focuses on the pairs of eigenstates distinguished by an observable, i.e., qudits of an observable. The fundamental theorem for quantum logical entropy and measurement establishes a direct quantitative connection between the increase in quantum logical entropy due to a projective measurement and the eigenstates that are distinguished by the measurement. Both the classical and quantum versions of logical entropy have simple interpretations as “two-draw” probabilities for distinctions. The conclusion is that quantum logical entropy is the simple and natural notion of information for quantum information theory focusing on the distinguishing of quantum states. (shrink)

-/- Intelligence, Balance, and the Laws of Nature: A Universal Connection -/- Introduction -/- The human mind has an extraordinary ability: it can understand the laws of nature, even though it is itself made of atoms and governed by these same laws. This raises a profound question: How can intelligence—whether human, artificial, or even extraterrestrial—grasp the very principles that shape the universe? The answer may lie in the fundamental nature of balance, a principle that underlies both intelligence and the structure (...) of reality. By examining the relationship between intelligence, balance, and the universal laws of nature, we can explore whether understanding is an inevitable outcome of how the universe operates. This perspective also aligns with the idea that human decision-making must follow natural laws, as suggested by Angelito Malicse’s universal formula for solving the problem of free will. -/- Intelligence as an Extension of Natural Laws -/- The first step in understanding intelligence is recognizing that it does not exist outside of nature but rather emerges from it. Just as the physical universe follows patterns—such as gravity, thermodynamics, and atomic interactions—so too does intelligence arise through a process of self-organization. -/- Self-Organization in Nature: Atoms form molecules, molecules form cells, and cells form complex organisms. This natural progression of increasing complexity leads to intelligence, much like galaxies, ecosystems, and weather patterns follow self-organizing principles. -/- The Brain as a Natural System: The human brain is composed of matter, but its function is not just a mechanical process—it is an adaptive system designed to recognize patterns, make predictions, and refine its understanding of reality. -/- Mathematics as a Universal Language: Many scientists have pointed out the “unreasonable effectiveness of mathematics” in describing reality. This suggests that mathematical principles are not human inventions but discoveries—patterns that exist independently in nature and are uncovered by intelligence. -/- If intelligence is simply an expression of natural laws, then the ability to recognize patterns and understand reality is an inevitable result of how the universe itself functions. -/- Balance as the Fundamental Principle of Intelligence -/- A key insight from Malicse’s universal formula is that decision-making must align with the natural law of balance. This idea applies not only to individual choices but also to the way intelligence operates at all levels. -/- Cognitive Balance: Human intelligence thrives when there is a balance between stability and change. Too much rigidity (dogma, closed-mindedness) leads to stagnation, while too much uncertainty (lack of foundational truths) leads to chaos. Intelligence must constantly balance existing knowledge with new discoveries in order to function effectively. -/- Societal Balance: Societies, like individual minds, must find a balance between order (structure, rules, and traditions) and progress (innovation, questioning, and adaptation). When societies fail to achieve this balance—whether through unregulated growth, misinformation, or rigid ideologies—they become unstable. -/- Scientific Progress as a Balance Mechanism: The scientific method itself is a process of maintaining balance between evidence and theory. As we gain more information, we refine our understanding of natural laws, continuously adjusting our models of reality. -/- If intelligence inherently follows balance, then the process of gaining knowledge is itself governed by a universal law of equilibrium. This connects directly to the idea that decisions must align with natural laws to prevent imbalance, which is central to Malicse’s universal formula. -/- The Laws of Nature as a Form of Universal Intelligence -/- If intelligence naturally emerges from balance, then it is possible that the laws of nature themselves represent a form of intelligence—not in a conscious, human-like sense, but as the underlying logic that structures reality. -/- The Universe as an Information System: Some physicists suggest that the universe functions like a vast information-processing system, where fundamental laws act as rules that govern how matter and energy behave. This aligns with the idea that knowledge is not “created” but rather “discovered” as intelligent beings uncover the rules that already exist. -/- Intelligence as the Universe Understanding Itself: If all intelligent beings (humans, AI, or extraterrestrials) follow the same fundamental laws of balance and logic, then intelligence might be a way for the universe to “self-reflect.” This means that understanding reality is not separate from nature but an essential part of its ongoing evolution. -/- The Connection to AI and Extraterrestrial Knowledge: If artificial intelligence or extraterrestrial civilizations exist, they too would likely discover the same fundamental truths, because these laws are universal. This suggests that intelligence is not an accident but a natural consequence of how the universe operates. -/- This perspective reinforces Malicse’s view that human decisions must align with natural laws to avoid imbalance—because intelligence itself is simply another expression of these laws. -/- Conclusion: Intelligence, Balance, and the Universal Formula -/- The ability to understand the universe is not a mystery if we recognize that intelligence is a product of nature itself. The same laws that govern the cosmos also govern the mind, and the process of discovering knowledge is a reflection of the natural balance found in all systems. -/- This idea strongly aligns with Angelito Malicse’s universal formula, which states that human decision-making must follow the natural law of balance to function properly. Just as an imbalanced mind leads to misunderstanding, and an imbalanced society leads to dysfunction, an imbalance in decision-making leads to human and societal problems. -/- If intelligence is a way for the universe to become aware of itself, then the responsibility of humanity is clear: we must align our knowledge, actions, and societies with the fundamental principles of balance that govern all things. By doing so, we not only advance scientifically and technologically but also ensure a sustainable and harmonious future. -/- Final Thought -/- If extraterrestrial intelligence exists, they may have already reached this understanding. Whether through direct knowledge transfer (as some speculate) or through independent discovery, any advanced intelligence—whether human, alien, or artificial—must ultimately align with the universal law of balance. This means that the search for truth is not just a scientific endeavor but a fundamental part of the structure of reality itself. -/- . 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Many mechanisms, functions and structures of life have been unraveled. However, the fundamental driving force that propelled chemical evolution and led to life has remained obscure. The second law of thermodynamics, written as an equation of motion, reveals that elemental abiotic matter evolves from the equilibrium via chemical reactions that couple to external energy towards complex biotic non-equilibrium systems. Each time a new mechanism of energy transduction emerges, e.g., by random variation in syntheses, evolution prompts by punctuation and settles to (...) a stasis when the accessed free energy has been consumed. The evolutionary course towards an increasingly larger energy transduction system accumulates a diversity of energy transduction mechanisms, i.e. species. The rate of entropy increase is identified as the fitness criterion among the diverse mechanisms, which places the theory of evolution by natural selection on the fundamental thermodynamic principle with no demarcation line between inanimate and animate. (shrink)

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

Most of the free will debate operates under the assumption that classic determinism and indeterminism are the only metaphysical options available. Through an analysis of Dennett’s view of free will as gradually evolving this article attempts to point to emergentist, interactivist and temporal metaphysical options, which have been left largely unexplored by contemporary theorists. Whereas, Dennett himself holds that “the kind of free will worth wanting” is compatible with classic determinism, I propose that his models of determinism fit poorly with (...) his evolutionary theory and naturalist commitments. In particular, his so-called “intuition pumps” seem to rely on the assumption that reality will have a compositional bottom layer where appearance and reality coincide. I argue that instead of positing this and other “unexplained explainers” we should allow for the heretical possibility that there might not be any absolute bottom, smallest substances or universal laws, but relational interactions all the way down. Through the details of Dennett’s own account of the importance of horizontal transmission in evolution and the causal efficacy of epistemically limited but complex layered “selves,” it is argued that our autonomy is linked to the ability to affect reality by controlling appearances. (shrink)

Key Statements -/- A new definition of consciousness. Consciousness is the minimal capacity to detect = feel (a) difference(s), whether in environmental conditions or internal states. -/- Reality is posited as an infinite, one-dimensional sequence of informational states, fraying into fractal complexity. This continuum has no origin in time, no final endpoint, and no external boundary. -/- Localized “Islands of Meaning”: Not all configurations appear comprehensible to us. Certain stable pockets yield phenomena that we interpret as consistent physical laws, living (...) organisms, or advanced technologies; we inhabit one of these pockets. -/- Consciousness as a Lens: Though the cosmic code is static in total, consciousness imposes a reading order that births our sense of time and development. Consciousness does not create the code but highlights specific strings as “our reality.” -> Creation of time. -/- Near Kinship of Natural and Artificial Intelligence: Both spring from the same portion of the universal code where symbol manipulation can yield adaptive, learning-based behavior. The difference is one of substrate and historical path, not fundamental principle. -/- Tree of known Intelligences: Biology, memetics, and AI form layered ‘software’ with shared roots on a unified information island, all existing within a vast sea of interconnected data flows and influences. -/- Life - a Servant of Entropy: In our pocket of informational infinity, higher-order information systems, e.g., life — as defined above — can be described as catalysts toward a state of increased entropy. Higher-order information processes, such as (biological and so-called artificial or synthetic) life and other software agents, are governed by the natural law of generating as many microstates — the amount of uncertainty or information in a system — as possible. -/- Determinism Amid Perceived Freedom: All is predetermined at the highest level, yet locally, we experience genuine choice because we lack full knowledge of how the program extends. Moral and ethical considerations remain relevant to navigate these local experiences. (shrink)

Synthetic biology aims at reconstructing life to put to the test the limits of our understanding. It is based on premises similar to those which permitted invention of computers, where a machine, which reproduces over time, runs a program, which replicates. The underlying heuristics explored here is that an authentic category of reality, information, must be coupled with the standard categories, matter, energy, space and time to account for what life is. The use of this still elusive category permits (...) us to interact with reality via construction of self-consistent models producing predictions which can be instantiated into experiments. While the present theory of information has much to say about the program, with the creative properties of recursivity at its heart, we almost entirely lack a theory of the information supporting the machine. We suggest that the program of life codes for processes meant to trap information which comes from the context provided by the environment of the machine. (shrink)

The mind-body problem is analyzed in a physicalist perspective. By combining the concepts of emergence and algorithmic information theory in a thought experiment employing a basic nonlinear process, it is argued that epistemically strongly emergent properties may develop in a physical system. A comparison with the significantly more complex neural network of the brain shows that also consciousness is epistemically emergent in a strong sense. Thus reductionist understanding of consciousness appears not possible; the mind-body problem does not have a (...) reductionist solution. The ontologically emergent character of consciousness is then identified from a combinatorial analysis relating to system limits set by quantum mechanics, implying that consciousness is fundamentally irreducible to low-level phenomena. In the perspective of a modified definition of free will, the character of the physical interactions of the brain's neural system is subsequently studied. As an ontologically open system, it is asserted that its future states are undeterminable in principle. We argue that this leads to freedom of the will. (shrink)

I propose that, in addition to the commonly recognized increase of entropy, two more time arrows influence living beings. The increase of damage reactions, which produce aging and genetic variation, and the decrease of the rate of entropy production involved in natural selection are neglected arrows of time. Although based on the statistical theory of the arrow of time, they are distinguishable from the general arrow of the increase of entropy. Physiology under healthy conditions only obeys the (...) increase of entropy arrow. But aging, death, and evolution are determined by the other time arrows as well. Paradoxes emerge from conflicts among the specific determinisms associated with each arrow. These conflicts, along with uncertainties intrinsic to the low-number statistics of the arrows of damage reactions and decrease of the rate of production of entropy, highlight the limits of determinism at different levels of biology and its dependence on time span and number of organisms. The recognition of the three time arrows opens new perspectives for the problem of compatibility of the flow of time in physics and psychology. (shrink)

The book Theory and Practice of Contrast completes, corrects and integrates the foundations of science and humanities, which include: theory of art, philosophy (aesthetics, epistemology, ontology, axiology), cognitive science, theory of information, theory of complexity and physics. Through the integration of these distant disciplines, many unresolved issues in contemporary science have been clarified or better understood, among others: defining impact (contrast) and using this definition in different fields of knowledge; understanding what beauty/art is and what our aesthetic preferences depend (...) on; deeper understanding of what complexity and information are in essence, and providing their general definitions. Complexity means integration, value and goodness - concepts that seem to be neglected today. The book also has a high degree of integration/complexity, although each chapter introduces a new issue. The last chapter: "Binary Model of the Universe" draws attention to the need for including in physics the analysis of our mind and the resulting new possibilities, which include the mentioned (digital) model of the universe. Despite the difficult issues raised here, this study is written in accessible language and may be interesting not only for scientists and academics. (shrink)