This article attempts to show why an experimental hypothesis is plausible and merits testing; in brief, the hypothesis is that autism begins with a failure in early learning and that changing the environment of early learning would dramatically change its incidence. Strong statistical evidence supporting this hypothesis has been published by Waldman et al., but to date this evidence has largely been ignored, perhaps because it challenges prevalent beliefs about autism. This article also suggests that the current epidemic of autism (...) is serious enough, and intellectually mysterious enough, to merit attention from a wider community of brain scientists: New ideas are needed. A confirmation of this article’s hypothesis would have interesting implications for brain science. (shrink)

(This version was submitted to Behavioral and Brain Science. A revised version was published by Biological Theory) Estimates of autism’s incidence increased 5-10 fold in ten years, an increase which cannot be genetic. Though many mutations are associated with autism, no mutation seems directly to cause autism. We need to find the direct cause. Complexity science provides a new paradigm - confirmed in biology by extensive hard data. Both the body and the personality are complex dynamic systems which spontaneously (...) self-organize from simple dynamic systems. Autism may therefore be caused by the failure of a simple dynamic system. We know that infants who cannot track their mother’s face often become autistic, that eye-contact initiates intersubjectivity which is blocked in autism, and that the infant-mother pair seems designed to promote eye-contact, as does the eye’s appearance. This author earlier proposed that failure of eye-contact might directly cause autism and that early non-maternal childcare, including television/video, would therefore be statistically linked to autism. Waldman et al. (2008; 2006) recently proved that autism is strongly linked to precipitation (indoor activity) and to the introduction of cable. The most plausible explanation? Early exposure to television/video is linked to autism. Furthermore a normal developmental cascade (blocked in autism) has been deciphered: (a) Infant-mother eye-contact triggers increased maternal attention. (b) Early maternal attention permanently increases not only baseline vasopressin but also that oxytocin release which is triggered by subsequent maternal attention. (c) Vasopressin and oxytocin promote face recognition, gazing-at-the-eyes, emotion recognition, and social bonding. The eye-contact hypothesis suggests a clinical study addressing prevention: recruit prospective parents who agree to curtail television/video/computer/wi-fi in their families; measure autism’s incidence in their children. (shrink)

In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an (...) intelligent manner according to the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned. (shrink)

This article explores the relationship between deliberative democracy, the Internet, and systems theory’s thoughts on diversity. After introducing Habermas’s theory of deliberative democracy and how diversity fits into it, the article discusses various ideas about whether and how it could work on the Internet. Next, the article looks at research into diversity done in the field of complex adaptive systems, showing that diversity has both good and bad effects, but is clearly preferred for the purpose of survival. The (...) article concludes with an analysis of how the results of systems theory’s study of diversity can assist society in bringing democracy to the Web. (shrink)

In this article I present an alternative philosophy of science based on ideas drawn from the study of complex adaptive systems. As a result of the spectacular expansion in scientific disciplines, the number of scientists and scientific institutions in the twentieth century, I believe science can be characterised as a complex system. I want to interpret the processes of science through which scientists themselves determine what counts as good science. This characterisation of science as a (...) class='Hi'>complex system can give an answer to the question why the sciences are so successful in solving growing numbers of problems and correcting their own mistakes. I utilise components of complexity theory to explain and interpret science as a complex system. I first explain the concept of complexity in ordinary language. The explanation of science as a complex system starts with a definition of the basic rules that guide the behaviour of science as a complex system. Next, I show how various sciences result through the implementation of these rules in the study of a specific aspect of reality. The explanation of the growth of science through evolutionary adaptation and learning forms the core of the article. (shrink)

Historical processes exert an influence on the current state and evolution of situations of language contact, brought to bear from different domains, the economic and the political, the ideological and group identities, geo-demographics, and the habits of inter-group use. Clearly, this kind of phenomenon requires study from a complexical and holistic perspective in order to accommodate the variety of factors that belong to different levels and that interrelate with one another in the evolving dynamic of human languaging. Therefore, there is (...) a need for the restricted and general complexity approaches to come to a meeting of the minds, and take steps toward a mutual integration based on the acceptance of the shortcomings of each approach, achieving progress through a non-contradictory complementarity of perspectives. It must be conceded that the practical and methodological applications of basic complexical ideas need to be developed much farther in order to apply them to specific research. At the same time, the limits of complex adaptive systems as computational strategies must be accepted in the pursuit of a better understanding of the dynamic and evolutionary processes typical of human beings. New tools for the conception, apprehension and treatment of the data will need to be devised to complement existing ones and to enable us to make headway toward practices that better fit complexical perspectives. It seems obvious that human complexics must be seen as multi-methodological, insofar as necessary combining quantitative-computation methodologies and more qualitative methodologies aimed at understanding the historical mental and emotional world of people. (shrink)

This study considers the problem of using approximate way for realizing the neural supervisor for nonlinear multivariable systems. The Nonlinear Autoregressive-Moving Average (NARMA) model is an exact transformation of the input-output behavior of finite-dimensional nonlinear discrete time dynamical organization in a hoodlum of the equilibrium state. However, it is not convenient for intention of adaptive control using neural networks due to its nonlinear dependence on the control input. Hence, quite often, approximate technique are used for realizing the neural supervisor (...) to overcome computational complexity. In this study, we introduce two classes of ideal which are approximations to the NARMA model and which are linear in the control input, namely NARMA-L1 and NARMA-L2. The latter fact substantially simplifies both the theoretical breakdown as well as the practical request of the controller. Extensive imitation studies have shown that the neural controller designed using the proposed approximate models perform very well and in dozens situation even better than an approximate controller designed using the exact NARMA Model. In view of their mathematical tractability as well as their fate in simulation studies, a matter is made in this study that such approximate input-output paragon warrants a detailed study in their own right. (shrink)

This paper explores some of the factors that make complex systems complex. We first examine the history of complex systems. It was Aristotle’s insight that how elements are joined together helps determine the properties of the resulting whole. We find (a) that scientific reductionism does not provide a sufficient explanation; (b) that to understand complex systems, one must identify and trace energy flows; and (c) that disproportionate causality, including global tipping points, are all around us. Disproportionate (...) causality results from the wide availability of energy stores. We discuss three categories of emergent phenomena—static, dynamic, and adaptive—and recommend retiring the term emergent, except perhaps as a synonym for creative. Finally, we find that virtually all communication is stigmergic. (shrink)

Three decades after Chalmers named it, the ‘hard problem’ remains. I suggest a parsimonious solution. Biological dynamic systems interact according to simple rules (while the environment provides simple constraints) and thus self-organize to become a new, more complex dynamic system at the next level. This spiral repeats several times generating a hierarchy of levels. A leap to the next level is frequently creative and surprising. From ants, themselves self-organized according to physical/chemical laws, may emerge an ant colony self-organized (...) according to eusocial laws. A dynamic system need not be material. A living language (immaterial) is a complex adaptive system. Body/brain are material but the next level of complexity, a psychological dynamic system, a thought, feeling, image or ideal, is less material. From several psychological dynamic systems emerges the next level, narrative (immaterial), and from multiple narratives emerges personality. Concrete evidence explains how an early narrative emerges from body-and-brain. Evidence also shows that personality emerges from narrative. Even an objective narrative captures subjectivity since the teller’s choice of content is subjective. I argue that the ‘stream-of-consciousness’ story (movie) you are currently telling yourself (watching) is your conscious experience, ‘what it is like’ for you to be conscious. Adriana Cavarero’s arguments support this. Each level of a hierarchy of dynamic systems must necessarily be homeostatic, at that level. McDowell et al. (2023: submitted, in revision) reported evidence that a dream (a narrative) supports personality homeostatically. Perhaps the evolutionary advantage of conscious experience, also a narrative, has always been that it too supports personality homeostatically. Personality and body/brain, a chimera of symbiotic life-forms, constitute interactionist duality. (shrink)

Objectives: Machine learning (ML) has the potential to facilitate “continual learning” in medicine, in which an ML system continues to evolve in response to exposure to new data over time, even after being deployed in a clinical setting. In this article, we provide a tutorial on the range of ethical issues raised by the use of such “adaptive” ML systems in medicine that have, thus far, been neglected in the literature. -/- Target audience: The target audiences for this (...) tutorial are the developers of ML AI systems, healthcare regulators, the broader medical informatics community, and practicing clinicians. -/- Scope: Discussions of adaptive ML systems to date have overlooked the distinction between 2 sorts of variance that such systems may exhibit—diachronic evolution (change over time) and synchronic variation (difference between cotemporaneous instantiations of the algorithm at different sites)—and underestimated the significance of the latter. We highlight the challenges that diachronic evolution and synchronic variation present for the quality of patient care, informed consent, and equity, and discuss the complex ethical trade-offs involved in the design of such systems. (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)

In this article, we propose some fundamental requirements for the appearance of adaptivity. We argue that a basic metabolic organization, taken in its minimal sense, may provide the conceptual framework for naturalizing the origin of teleology and normative functionality as it appears in living systems. However, adaptivity also requires the emergence of a regulatory subsystem, which implies a certain form of dynamic decoupling within a globally integrated, autonomous system. Thus, we analyze several forms of minimal adaptivity, including the special (...) case of motility. We go on to explain how an open-ended complexity growth of motility-based adaptive agency, namely, behavior, requires the appearance of the nervous system. Finally, we discuss some implications of these ideas for embodied robotics. (shrink)

This Thesis presents a model of cognitive development inspired by Piaget's "Genetic Epistemology". It is observed that the epigenetic process described by Piaget posess mechanisms and behaviour that characterise complex adaptive systems. A model of bipedal motion based around the "Bucket Brigade" algorithm of Holland is presened to explore this relationship.

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)

In “What Does Environmental Protection Protect?” Mark Sagoff argues that there is no ecological way to test the claim that natural ecosystems are complex adaptive systems. In this critical commentary, I recreate that argument, object to it, and attempt to clarify its normative upshot. I show that Sagoff relies on substantive assumptions about (1) the tools and methods of ecological science, (2) what can be done with those tools and methods, and (3) ecology’s being separable from other disciplines, (...) all of which are controversial and in need of defense. I also identify five different ways that one might interpret the action-guiding recommendation that Sagoff wants to make on the basis of that argument, and I explain why all five are somewhat problematic. (shrink)

A general mathematical framework, based on countable partitions of Natural Numbers [1], is presented, that allows to provide a Semantics to propositional languages. It has the particularity of allowing both the valuations and the interpretation Sets for the connectives to discriminate complexity of the formulas. This allows different adequacy criteria to be used to assess formulas associated with the same connective, but that differ in their complexity. The presented method can be adapted potentially infinite number of connectives and truth values, (...) therefore, it can be considered a general framework to provide semantics to several of the known logic systems (eg, LC, L3 LP, FDE). The presented semantics allow to converge to different standard semantics if the separation complexity procedure is annulled. Therefore, it can be understood as a framework that allows greater precision (in complexity terms) with respect to formula satisfaction. Naturally, because of how it is built, it can be incorporated into non-deterministic semantics. The presented procedure also allows generating valuations that grant a different truth value to each formula of propositional language. As a positive side effect, our method allows a constructive proof of the equipotence between N and N^n for all Natural n. (shrink)

Abstract -/- This paper establishes the mathematical foundation of CODES (Chirality of Dynamic Emergent Systems), introducing a unifying framework for structured emergence across disciplines. We formalize prime-driven resonance equations, a novel class of nonlinear phase-locking dynamics, and a generalized coherence metric to quantify system stability across physical, biological, and cognitive domains. -/- By extending harmonic analysis, prime number theory, and topological invariants, we propose a universal resonance function that governs the transition from stochastic disorder to structured order. This framework: (...) • Resolves fundamental paradoxes in probability theory by demonstrating that randomness is a projection of underlying resonance structures. • Redefines symmetry-breaking as a phase-locked emergence process, replacing traditional group-theoretic formulations. • Introduces a computable coherence model that predicts emergent stability across complex adaptive systems. -/- Finally, we explore implications for cosmology, AI, and quantum gravity, demonstrating that mathematical reality is fundamentally a structured resonance field, not a probabilistic space. (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)

Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic (...) systems of interacting agents. This chapter explores the potential advantages and disadvantages of ACE for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive understanding of production, pricing, and trade processes; the essential primacy of survival; strategic rivalry and market power; behavioral uncertainty and learning; the role of conventions and organizations; and the complex interactions among structural attributes, institutional arrangements, and behavioral dispositions. (shrink)

Chiral Dynamics of Emergent Systems (CODES) that proposes that all emergent phenomena, such as language, RNA, DNA, consciousness, arise from the dynamic interplay between chaos and order, governed by chirality, or directionally asymmetry. By integrating this chiral relationship into a mathematical framework, CODES provides a unifying mechanism that explains how complex systems evolve and self-organize over time. It resolves Wittgenstein's language games, by situating them through a broader, adaptive system driven by the balance of stability and creativity. (...) Through this interdisciplinary approach, CODES bridges gaps between philosophy, biology, linguistics, and evolution of structured yet adaptive systems. (shrink)

The author interprets three stories from recently Neolithic cultures (Melanesian, African Bushman, and Inuit) and a fourth story from an oral tradition of Haitian women. All four are about women and perhaps, judging by their content, composed by women. The author trained with Edward Whitmont and developed his interpretation technique in decades of practice with dreams as a Jungian analyst. He adds a new tool, the use of repetition, in which the same point is made by a series of different (...) details. Repetition provides an internal test for the accuracy of an interpretation. The author updates Jung’s concept of archetypes to incorporate an understanding of Darwinian evolution (which Jung lacked), new knowledge of the function of genes, and new knowledge of the emergence of complexity in dynamic and adaptive systems. He compares his interpretations of the four stories with other scholars’ interpretations, in particular the extraordinary work of Michael Wessels on African Bushman legends. Though Wessels criticized Jung for imposing his ‘colonial’ theory of universal archetypes, both Jung and Wessels insisted that interpretation requires a dialogue between two agents in which both are subjects, neither being dominated or objectified. In the four stories, the author shows, symbolic consciousness began with women. The anthropologist Chris Knight proposed something similar in 1991 in his controversial book Blood Relations: Menstruation and the Origins of Culture. (shrink)

Ontologies are being used by information scientists in order to facilitate the sharing of meaningful information. However, computational ontologies are problematic in that they often decontextualize information. The semantic content of information is dependent upon the context in which it exists and the experience through which it emerges. For true semantic interoperability to occur among diverse information systems, within or across domains, information must remain contextualized. In order to bring more context to computational ontologies, we introduce culture as an essential (...) concept for information science. Culture helps to focus our attention on and make meaning of relevant extrapersonal structures and their qualities and dimensions that comprise the context and background of the world. In our approach, culture is integral to the study of semantics and, consequently, the study of ontologies and information technologies. The meaning we make of entities and phenomena in the world is always shaped by our cultural experience. If we understand culture as the emergent interplay of intrapersonal cognitive structures and extrapersonal structures of the world, then the notion of cognitive and cultural schemas becomes essential to understanding ontology and the ways in which we might achieve authentic semantic interoperability among diverse information systems. We explore the nature of ontologies and reconceptualize them as cultural schemas. Our proposal is an alternative to the historical path from philosophical ontology to computational ontologies as one that adheres primarily to the notion of ontology as a categorization and classification system. The obvious implication for ontology as categorization is that there is a single objective world that exists and that it can be described as entirely separate from the person observing it. We draw upon Heidegger’s examination of ontology to ground ontology in a phenomenological perspective, enabling it to remain flexible and adaptable and to accommodate context. (shrink)

The challenges of the Anthropocene are growing ever more complex and uncertain, underpinned by the emergence of systemic risks. At the same time, the landscape of risk governance has become compartmentalised and siloed, characterized by non-overlapping activities, competing scientific discourses, and distinct responsibilities distributed across diverse public and private bodies. Operating across scales and disciplines, actors tend to work in silos which constitute critical gaps within the interface of science, policy, and practice. Yet, increasingly complex and ‘wicked’ problems (...) require holistic solutions, multi-scalar communication, coordination, collaboration, data interoperability, funding, and stakeholder engagement. To address these problems in a real-world context, we present the Risk-Tandem framework for bridging theory and practice; to guide and structure the integration of disaster risk management (DRM), climate change adaptation (CCA) and systemic risk management through a process of transdisciplinary knowledge co-production. Advancing the frontiers of knowledge in this regard, The Risk-Tandem framework combines risk management approaches and tools with iterative co-production processes as a cornerstone of its implementation, in efforts to promote the co-design of fit-for-purpose solutions, methods and approaches contributing toward strengthened risk governance alongside stakeholders. The paper outlines how the framework is developed, applied, and further refined within selected case study regions, including Denmark, Germany, Italy and the Danube Region. (shrink)

In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an (...) intelligent manner according to the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned. (shrink)

Understanding everyday behavior relies heavily upon understanding our ability to improvise, how we are able to continuously anticipate and adapt in order to coordinate with our environment and others. Here we consider the ability of musicians to improvise, where they must spontaneously coordinate their actions with co-performers in order to produce novel musical expressions. Investigations of this behavior have traditionally focused on describing the organization of cognitive structures. The focus, here, however, is on the ability of the time-evolving patterns of (...) inter-musician movement coordination as revealed by the mathematical tools of complex dynamical systems to provide a new understanding of what potentiates the novelty of spontaneous musical action. We demonstrate this approach through the application of cross wavelet spectral analysis, which isolates the strength and patterning of the behavioral coordination that occurs between improvising musicians across a range of nested time-scales. Revealing the sophistication of the previously unexplored dynamics of movement coordination between improvising musicians is an important step towards understanding how creative musical expressions emerge from the spontaneous coordination of multiple musical bodies. (shrink)

Personalized learning experiences have undergone revolutionary transformations as a result of the use of artificial intelligence (AI) into education. The application of AI-driven adaptive learning methods designed especially for the Parakh assessment system's multiple-choice question (MCQ) selection is examined in this abstract. In order to dynamically evaluate a student's ability and modify the question complexity in real time, the suggested method makes use of machine learning models. The system carefully chooses questions that address each learner's unique learning (...) gaps and offer suitable challenge levels based on past performance data and question information. Preprocessing assessment data, extracting features from student interaction logs, and creating a recommendation system to improve the accuracy of MCQ selection are all part of the methodology. Evaluation measures like knowledge retention rates, time to completion, and response accuracy are utilized to evaluate the effectiveness of the system. By optimizing learning outcomes, this AI-based strategy seeks to provide a more stimulating and productive assessment environment. The method might completely change the way formative evaluations are carried out and guarantee that every student gets a customized education that is in line with their particular academic requirements. (shrink)

The increasing complexity and demands of next-generation networks necessitate the integration of Artificial Intelligence (AI) to enhance their efficiency and security. This article explores advancements in AI-driven communication systems, focusing on optimizing network performance, ensuring robust security measures, and addressing the challenges of scalability and real-time adaptability. By analyzing case studies, emerging technologies, and recent research, this study highlights AI's transformative potential in redefining communication systems for future applications.

In this paper we suggest a clarification in relation to the notions of computational and intrinsic emergence, by showing how the latter is deeply connected to the new Logical Openness Theory, an original extension of Gödel theorems to the model theory. The epistemological scenario we are going to make use of is that of the theory of vision, a particularly instructive one. In order to reach our goal we introduce a dynamic theory of relationship between the observer and the observed (...) which takes into account the co-adaptive processes as well as the ecological nature of the mind/world relations. In order to fulfill the requirements of complexity sciences, this theory assumes that the scientific activity has to be able to comprehend the adaptive dynamics between system and environment as well as the model and the context where it is applied. This leads to an adaptive epistemology based on logical openness which overcomes the thigh corners of both naïve objectivist conception and radical relativism temptations by stressing that the knowledge building is a process of continuous shifting from the “frozen” syntactical dimensions to the plurality choices which make possible for mind and world to meet each other. (shrink)

This paper aims to provide a theoretical framework for explaining the subjective character of pain experience in terms of what we will call ‘embodied predictive processing’. The predictive processing (PP) theory is a family of views that take perception, action, emotion and cognition to all work together in the service of prediction error minimisation. In this paper we propose an embodied perspective on the PP theory we call the ‘embodied predictive processing (EPP) theory. The EPP theory proposes to explain pain (...) in terms of processes distributed across the whole body. The prediction error minimising system that generates pain experience comprises the immune system, the endocrine system, and the autonomic system in continuous causal interaction with pathways spread across the whole neural axis. We will argue that these systems function in a coordinated and coherent manner as a single complex adaptive system to maintain homeostasis. This system, which we refer to as the neural-endocrine-immune (NEI) system, maintains homeostasis through the process of prediction error minimisation. We go on to propose a view of the NEI ensemble as a multiscale nesting of Markov blankets that integrates the smallest scale of the cell to the largest scale of the embodied person in pain. We set out to show how the EPP theory can make sense of how pain experience could be neurobiologically constituted. We take it to be a constraint on the adequacy of a scientific explanation of subjectivity of pain experience that it makes it intelligible how pain can simultaneously be a local sensing of the body, and, at the same time, a more global, all-encompassing attitude towards the environment. Our aim in what follows is to show how the EPP theory can meet this constraint. (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)

Because of advanced automation, data exchange, and cyber-physical systems, traditional project risk management strategies are losing their effectiveness in the era of Industry 4.0. This study investigates how integrating Industry 4.0 technology into project risk management frameworks can have real-world implications. Using technologies like artificial intelligence (AI), big data analytics, and the Internet of Things (IoT), it proposes a new framework that enhances risk identification, assessment, and mitigation methods. In order to demonstrate how Industry 4.0 is transforming risk management practices, (...) this article examines real-world case studies and industry implementations. The framework addresses significant opportunities and challenges to provide practitioners with useful insights for adapting to the evolving technological context. The findings suggest that incorporating Industry 4.0 technologies can significantly improve risk management efficiency and project outcomes, offering a pathway for organizations to navigate the complexities of modern project environments. (shrink)

Discursive liberal democracy might not be the best of all possible forms of government, yet in Europe it is largely accepted as such. The attractors of liberal democracy (majority rule, political equality, reasonable self-determination and an ideological framework built in a tentative manner) as well as an adequate dose of secularization (according to the doctrine of religious restraint) provide both secularist and educated religious people with the most convenient ideological framework. Unfortunately, many promoters of ideological secularization take too strong a (...) stance against the manifestation of religiosity in the public sphere. They claim that people may discuss, debate or adopt (coercive) laws and regularities only by means of secular public reasons and secular motivation. We argue that these secular restraints on the ideological framework are unfairly biased against religion, counterproductive and unreasonable. The exaggerated secular restrictions create a strict secular public sphere that appears to be a Pickwickian world suitable just for inoffensive, dull and lethargic people. Deliberately separated from the idea of truth, secular public reasons cannot sustain a complex adaptive system like discursive liberal democracy. Liberal democracy needs citizens with a strong sense of truth and with a sufficient will-power to follow both a personal ideal and a collective ideal. Religious beliefs provide people with just such a sense of truth and with the desire to have a certain kind of character. In the secularized public sphere of liberal democracy, people can manifest just educated religious beliefs that correspond to the real world and respect the principle of peaceable conduct. In the final part of the article we support the assertion that believers could and should educate their religious belief before expressing them in the public sphere. Educated religious beliefs have a wide enough propositional content, obey the moral imperative of William Clifford, are purged from all propositional components against which there is strong evidence and are consciously cultivated by the mechanism of suggestion. (shrink)

This paper integrates symbolic thought and experimental research. We hypothesized that symbolic narratives provide homeostasis for the complex adaptive system that is personality. Our interpretation of a dream was based, in part, on this hypothesis. We found that the dream retold the myth of Saturn. When, by direct experiment, we tried to falsify our interpretation, our results supported our interpretation and thereby supported our hypothesis. Previously, evidence for this hypothesis had been only anecdotal. __________________________________________ For an audio-record (...) of entire class: link is given on 1st page of the text you download from this page. (shrink)

The subject of the essay is the genesis of the evolutionary strategy of стратегииHomo sapiens(SESH)as a carrier element of the transformation of technology and ethics into the main factors of anthropogenesis and the evolution of complex, self-organizing human-dimension systems.

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)

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)

Cancer, a multifactorial and emergent disease, results from a complex interplay between genetic, environmental, and behavioral factors. Stress, as a chronic biological and psychological phenomenon, has long been implicated in cancer development and progression. Using the framework of Chirality of Dynamic Emergent Systems (CODES), this paper posits that stress functions as a destabilizing force in the dynamic equilibrium between chaos (entropy) and order (homeostasis). By applying CODES, we model how chronic stress disrupts cellular and systemic adaptive mechanisms, leading (...) to the emergence of cancer as a maladaptive outcome. This approach reframes the relationship between stress and cancer, offering new insights into prevention, treatment, and systemic health. (shrink)

The fundamental purpose of software testing is to develop new test case sets that demonstrate the software product's deficiencies. Upon preparation of the test cases, the Test Oracle delineates the expected program behavior for each scenario. The application's correct functioning and its properties will be assessed by prioritizing test cases and running its components, which delineate inputs, actions, and outputs. The prioritization methods include initial ordering, random ordering, and reverse ranking based on fault detection capabilities. software application development often used (...) a test suite, which was less well recognized as a suite for validating software correctness. Each test case set in the suite had distinct instructions and goals based on the system and its configuration that were evaluated. This article presents a Generative AI artificial neural network model for automated software testing based on particle swarm optimization. Generative AI is the method by which computers use existing data, including text, audio/video files, images, and code, to produce new material. An artificial neural network (ANN) is a complex adaptive system capable of altering its internal structure in response to the information it processes. Precisely manipulate the connection and its weight to achieve optimal accuracy. The PSO is a heuristic, population-based global optimization method. (shrink)

International regulation of autonomous weapon systems (AWS) is increasingly conceived as an exercise in risk management. This requires a shared approach for assessing the risks of AWS. This paper presents a structured approach to risk assessment and regulation for AWS, adapting a qualitative framework inspired by the Intergovernmental Panel on Climate Change (IPCC). It examines the interactions among key risk factors—determinants, drivers, and types—to evaluate the risk magnitude of AWS and establish risk tolerance thresholds through a risk matrix informed by (...) background knowledge of event likelihood and severity. Further, it proposes a methodology to assess community risk appetite, emphasizing that such assessments and resulting tolerance levels should be determined through deliberation in a multistakeholder forum. The paper highlights the complexities of applying risk-based regulations to AWS internationally, particularly the challenge of defining a global community for risk assessment and regulatory legitimization. (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)

Comprehensive Implementation of a Holistic Educational System in the Philippines -/- To implement a holistic educational system in the Philippines, we need a step-by-step national strategy that integrates the universal law of balance in nature, critical thinking, and systems-based learning into the foundational education system. Below is a detailed plan tailored for the Philippine context. -/- 1. Reforming the Curriculum -/- A. Core Subjects with Integrated Holistic Principles -/- Science & Systems Thinking – Teach students how natural (...) and societal systems function, focusing on cause and effect, sustainability, and error-free systems. -/- Critical Thinking & Problem-Solving – Introduce logic, reasoning, and debate at all levels to counter misinformation and propaganda. -/- Ethics & Social Responsibility – Teach the law of karma (cause-effect in human actions) and how leadership decisions affect societal balance. -/- Environmental Sustainability & Population Awareness – Integrate lessons on balancing economic growth, resource management, and population control. -/- Technology & AI Integration – Prepare students for the future by teaching responsible AI use and its role in governance and decision-making. -/- 2. Teacher Training & Development -/- A. Nationwide Teacher Retraining Program -/- Establish Holistic Education Training Centers to retrain teachers in systems thinking, natural law applications, and balanced decision-making. -/- Partner with universities and global educational organizations to update teaching methodologies. -/- B. Leadership Development for School Administrators -/- Require school principals and education policymakers to undergo holistic leadership training. -/- Train them in scientific governance, ethical decision-making, and educational reform strategies. -/- 3. Multi-Level Educational Implementation -/- A. Basic Education (K-12) -/- Elementary Level: Focus on curiosity-driven learning, emotional intelligence, and early understanding of natural laws. -/- High School Level: Introduce systems thinking, governance studies, and practical applications of ethics in leadership. -/- B. Tertiary Level -/- Modify university curricula to incorporate holistic education principles into business, medicine, law, and politics. -/- Establish a Holistic Governance Degree to train future leaders in error-free decision-making based on natural laws. -/- 4. Policy Integration & Government Support -/- A. National Education Reform Bill -/- Propose legislation that mandates holistic education principles in DepEd and CHED curricula. -/- Require all government officials and policymakers to undergo holistic education training. -/- B. Integration with National Development Plans -/- Align holistic education with the Philippine Development Plan (PDP) to ensure sustainable governance. -/- Establish a National Holistic Education Advisory Council under DepEd, CHED, and NEDA. -/- 5. Public Awareness & Societal Involvement -/- A. Media & Community Engagement -/- Launch a nationwide information campaign via TV, radio, and social media to educate the public. -/- Encourage barangay-level seminars to help communities understand and apply holistic education. -/- B. Collaboration with Religious & Cultural Institutions -/- Work with Catholic, Muslim, and Indigenous leaders to align holistic education with ethical teachings without contradicting faith. -/- Encourage churches and mosques to support holistic education as a moral responsibility. -/- 6. AI & Technology Integration -/- A. AI-Powered Learning Tools -/- Develop adaptive AI tutors that help students understand complex systems and real-world decision-making. -/- Integrate AI-driven educational simulations to teach governance, economics, and environmental balance. -/- B. AI for Governance Monitoring -/- Use AI-assisted analysis to monitor government policies and detect potential societal imbalances before they escalate. -/- Train policymakers in data-driven decision-making using holistic education principles. -/- 7. Continuous Evaluation & Feedback -/- A. National Research & Development Program -/- Establish a Philippine Holistic Education Research Institute to study the long-term impact of the program. -/- Implement feedback mechanisms where students, teachers, and communities report inefficiencies and suggest improvements. -/- 8. Pilot Implementation & Nationwide Rollout -/- A. Phase 1: Pilot Program (Years 1-3) -/- Implement holistic education in select regions (Luzon, Visayas, Mindanao) as test sites. -/- Assess effectiveness before nationwide expansion. -/- B. Phase 2: Expansion (Years 4-6) -/- Gradually integrate holistic principles into all public and private schools. -/- Launch teacher retraining programs nationwide. -/- C. Phase 3: Full Implementation (Years 7-10) -/- Make holistic education mandatory across all educational institutions. -/- Implement AI-driven policy monitoring to ensure governance aligns with holistic principles. -/- Conclusion: The Future of Philippine Education -/- By implementing this comprehensive holistic educational system, the Philippines can transform its governance, economy, and societal well-being. This approach will ensure that future generations make decisions based on natural laws, critical thinking, and ethical responsibility—ultimately leading to a more stable and prosperous nation. -/- . (shrink)

Universal Basic Income (UBI) has been proposed as a potential way in which welfare states could be made more responsive to the ever-shifting evolutionary challenges of institutional adaptation in a dynamic environment. It has been proposed as a tool of “real freedom” (Van Parijs) and as a tool of making the welfare state more efficient. (Friedman) From the point of view of complexity theory and evolutionary economics, I argue that only a welfare state model that is “polycentrically” (Polanyi, Hayek) organized (...) as an evolving network of distributed decision-making can respond to the challenges of complexity in an adaptively efficient manner. UBI has the theoretical possibility to facilitate flexible, bottom-up innovation, since a) it embodies the “rule of law” principles of generality, nondiscrimination, simplicity, and transparency, and b) it grants people widespread freedom to experiment, innovate, and deviate from established practices and norms; but whether it can be made to work as intended depends on a number of variables in its design. I situate my research in the contemporary UBI debate around automation and technological development, which I interpret creatively through the lens of contemporary evolutionary political economy. I advance a syncretic model of institutional design based upon the shared insights of the Santa Fe, Neo-Hayekian, and Neo-Schumpeterian schools of evolutionary economics that, following Adam Thierer and Michael Munger, I call the framework of Permissionless Innovation (PI). Under the PI framework, which is a development of the tradition of evolutionary liberalism (Hume, Smith, Mandeville, Mill, Hayek, Polanyi, Schumpeter, Hodgson), individuals are granted the default right to innovate without having to ask for permission, and the right to basic income, which they can use to support their right to innovate, mutate, and experiment. This framework is a liberal framework to the extent it relies on widespread human freedom as a means of fostering innovation and social learning. And it is an evolutionary framework to the extent that it seeks to facilitate evolutionary socioeconomic processes for the sake of social progress and welfare advancement. I proceed to show, through an analysis of how innovation operates in both the economy and the cultural domain, that UBI can be used as an important cornerstone of an evolutionary liberal model of “ecostructural” governance that treats the socioeconomic order as an ecological garden of spontaneous growths, adaptations, and innovations. I call this the Permissionless Innovation Universal Basic Income (PIUBI) framework. In it, the right to innovate, deviate, and mutate is upheld as the “gold standard” of institutional design whereby individuals are granted widespread freedoms combined with the provision of UBI and other innovation-fostering (carefully bound) services and regulations. In the coming decades, UBI may even enable poor people to take better advantage of Human Enhancement Technologies (HETs) and other experimental innovations. Such a framework is compatible with a fast pace of evolutionary development, but the regulatory model accompanying such a framework must be capable of responding to evolutionary lock-ins, maladaptive innovations, self-destructive behaviour on the part of UBI recipients, and the management of catastrophic and existential risks. In the end, I will have shown that the PIUBI framework can be justified as a plausible default institutional mechanism for responding to radical uncertainty, but it needs to be experimentally adapted to changing circumstances with the help of various situation-specific, polycentric, multi-level, approaches. (shrink)

Human augmentation is discussed in three axes: the technological means, the ability being augmented, and the social systems that will be affected. The technological augmentations considered range from exocortical information and communication systems, to pharmaceuticals, tissue and genetic engineering, and prosthetic limbs and organs, to eventually nanomedical robotics, brain-computer interfaces and cognitive prostheses. These technologies are mapped onto the capabilities which we are in the process of enabling and augmenting, which include extending longevity and physical, sensory and cognitive abilities, and (...) enabling control over emotions, moral behavior, and spiritual experience. The impacts of augmentation on the family, education, economy, politics and religion are considered individually, but their aggregate effects will be non-linear and drive complex adaptations in the living machine that is our co-evolved techno-social civilization. (shrink)

Introduction: the neuroscientific turn in political science The observation that brains and political orders are interdependent is almost trivial. Obviously, political orders require brain processes in order to emerge and to remain in place, as these processes enable action and cognition. Conversely, every since Aristotle coined man as “by nature a political animal” (Aristotle, Pol.: 1252a 3; cf. Eth. Nic.: 1097b 11), this also suggests that the political engagements of this animal has likely consequences for its natural development, including the (...) development of its psychological functions. Given these mutual interdependencies, it is remarkable that only since the 1960s, the more general domain of ‘biopolitics’ has attracted attention though first particularly in the form of behavioral politics (Alford and Hibbing). Since then biopolitics has gained in interest, so much so that different subdomains can be identified. Indeed, a 2008 review of the field of biopolitics identified five ‘headings’ of it: “(1) the case for a ‘more biologically oriented political science’, (2) ‘biologically related’ public policy issues, (3) physiological measures of political attitudes and behaviour, (4) the influence of physiological factors on actual political behaviour, and (5) the manner in which our species’ evolutionary history has left homo sapiens genetically endowed with certain social and political behavioural tendencies” (Somit and Peterson 43). Striking is how the relation between biology and politics is taken here in a rather unidirectional way, emphasizing particularly the decisive power of biology upon politics. The reverse relation is not mentioned specifically, reflecting the field of biopolitics, perhaps until quite recently. This absence of studies of political influences on our biology may have to do with the difficulty in investigating such influences. Empirical studies in biopolitics have two foci, broadly speaking: genetics and the brain, both of which have turned out to be complex and dynamic phenomena (Alford and Hibbing). Yet the studies of genetics and brain processes have made much progress in the last few decades, thanks to the development of research instruments - like fMRI brain scanners and TMS brain stimulation instruments - and of computational tools for data analysis and the simulation of explanatory models. For the field of biopolitics it is particularly relevant that within cognitive neuroscience the study of social and political issues has witnessed an increasing interest of researchers even more recently. Indeed, aware of the enabling and mediating role of the brain regarding those issues, a truly ‘neuroscientific turn’ can be observed in the social sciences, testified for example by the emergence of the field of ‘neuropolitics’ (Connolly; Vandervalk). Developing a systematic neuropolitics or biopolitics in general is a difficult challenge because of the wealth of causal influences on and interdependencies between biological, brain, cognitive and socio-political factors. Taking a somewhat more abstract perspective, this paper focuses on the process of emerging complexity in adaptive systems, enabling those to conduct ever more complex processes. Yet, parallel to that development can be observed that such systems, or organisms, are also capable in reducing the complexity of the information they are to process. Once they’re capable of developing and adjusting such compressed and complex representations of information, those systems or organisms can handle more information faster and more efficient and adaptive, yielding important benefits to the organism in navigating its environment (Halford, Wilson and Phillips). Before focusing on the role of narrative as a cognitive strategy for such a reduction of informational complexity, I will discuss the development of stable structures and increasing complexity in dynamic systems. Such a more general perspective prepares our discussion of the structures of both narratives and politics and in doing so contributes to the explanation of their interaction. (shrink)

We present a minimum message length (MML) framework for trajectory partitioning by point selection, and use it to automatically select the tolerance parameter ε for Douglas-Peucker partitioning, adapting to local trajectory complexity. By examining a range of ε for synthetic and real trajectories, it is easy to see that the best ε does vary by trajectory, and that the MML encoding makes sensible choices and is robust against Gaussian noise. We use it to explore the identification of micro-activities within a (...) longer trajectory. This MML metric is comparable to the TRACLUS metric – and shares the constraint of abstracting only by omission of points – but is a true lossless encoding. Such encoding has several theoretical advantages – particularly with very small segments (high frame rates) – but actual performance interacts strongly with the search algorithm. Both differ from unconstrained piecewise linear approximations, including other MML formulations. (shrink)

Highlights: -/- • -/- Proposes forward-looking approach to studying climate collapse risks. • -/- Suggests diminishing returns on climate adaptation as a collapse mechanism. • -/- Suggests strategies for sustainable adaptation pathways in face of climate change. • -/- Illustrates analysis with examples of small island states and global food security. -/- Abstract: -/- This article proposes a forward-looking approach to studying societal collapse risks related to climate change. Such an approach should indicate how to study emerging collapse risks and (...) suggest strategies for adapting to them. Our approach is based on three postulates that facilitate a forward-looking approach: (1) collapse, if it occurred, would be a lengthy process rather than an abrupt event; (2) significant collapse risks already exist in some places; and (3) diminishing returns on adaptation to intensifying climate impacts are a key driver of collapse risks. The first two postulates suggests that collapse risks can be studied in process, while the third points to strategies for adaptation pathways that avoid unsustainable diminishing returns. Applying diminishing returns to climate change adaptation, rather than sociopolitical complexity or resource extraction, is also a novel theoretical contribution to collapse literature. [Open access]. (shrink)

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

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