Since the 1980s chaos has been the subject of great interest both in scientific research and in public consciousness. Chaos as played roles in books and movies such as Jurassic Park and Bellwether and has been the subject of numerous popularizations. But what is chaos—better characterized as chaotic dynamics—really? How much of an impact does it have on everyday life? This book explores these questions and more, introducing you to the basics of chaos as mathematicians and (...) scientists study it and apply it. There are a lot of buzzwords surrounding chaotic dynamics such as “butterfly effect” and “strange attractors,” and much discussion about whether chaos has shattered scientific dreams of a predictable world. This book will help you understand these buzzwords and their excitement, what limitations there are for predictability, and the wisdom scientists have learned from studying chaos. You will come away with a deeper appreciation of the intricacy and surprising order of our world. (shrink)

A review of James Glieck's _Chaos: Making a New Science_, noting how nonmonotonic functions self-referentially take on their own values and lead to complexity without randomness.

A dynamical system is called chaotic if small changes to its initial conditions can create large changes in its behavior. By analogy, we call a dynamical system structurally chaotic if small changes to the equations describing the evolution of the system produce large changes in its behavior. Although there are many definitions of “chaos,” there are few mathematically precise candidate definitions of “structural chaos.” I propose a definition, and I explain two new theorems that show that a set (...) of models is structurally chaotic if it contains a chaotic function. I conclude by discussing the relationship between structural chaos and structural stability. (shrink)

Chaos topology delves into bizarre symbol configurations of the world of quasi-quantification and pseudo-quantifiability. With quantum complexes, we are eventually able to find game play that blends wormholes with quantum computers and transcendental numbers. A conclusion that will leave you breathless, Chaos (Emmerson, 2023),.

The purpose of this paper is to open for investigation a range of phenomena familiar from dynamical systems or chaos theory which appear in a simple fuzzy logic with the introduction of self-reference. Within that logic, self-referential sentences exhibit properties of fixed point attractors, fixed point repellers, and full chaos on the [0, 1] interval. Strange attractors and fractals appear in two dimensions in the graphing of pairs of mutually referential sentences and appear in three dimensions in (...) the graphing of mutually referential triples. (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)

Chaos and Cosmos offers a new and unique interpretation of Argentine essayist and fiction writer Jorge Luis Borges as a thinker of what continental twentieth century political theory called the political. While not a political writer in the traditional sense, Borges was indeed an author whose response to the advent of totalitarianism, in particular in its Nazi form, generated the most experimental, insightful, and rigorous short fiction and non-fiction political interrogation. -/- As is well known, Borges’ writing went (...) beyond originality; it created a genre of its own, and the Borgesian style is not limited to form. This Borgesian style fundamentally relates to how his response to the advent of totalitarianism led to sharp and philosophically sophisticated interrogations-in-fiction of the political, understood in this book as related to three main distinctive dimensions: that of the question of the forms of society, that of the relationship between the imaginary and the real, and that of the relationship between the same and the other. -/- Chaos and Cosmos introduces the reader to Borges as an experimental writer, as an Argentine citizen, as a thinker of global political phenomena, and as a South American Pragmatist. The book also makes incursions in a political theorizing of its own, intertwining an interpretation of Borges’ essays and fiction pieces from the 1930s and 1940s with the central concerns of philosophers and political thinkers such as William James, Maurice Merleau-Ponty, Hannah Arendt, Claude Lefort, Michael Foucault, Richard Rorty, and Judith Butler. (shrink)

The purpose of this paper is to analyze what neo-Kantian Heinrich Rickert designates by the term ‘chaos’. I argue that using this term Rickert means infinite manifolds of human life experiences, that philosophers have to convert into ‘cosmos’ of theories by using concept formation. Rickert thinks that cognition orders chaos. I show that Rickert’s version of ‘chaos’ is different from the ones that were expressed by I. Kant, J. G. Herder, F. W. von Schelling, F. von Schlegel, (...) and F. Nietzsche. I also argue that ideas of I. Kant influenced the formation of Rickert’s ideas on chaos. (shrink)

Agent-centered constraints on harming hold that some harmful upshots of our conduct cannot be justified by its generating equal or somewhat greater benefits. In this paper I argue that all plausible theories of agent-centered constraints on harming are undermined by the likelihood that our actions will have butterfly effects, or cause cascades of changes that make the world dramatically different than it would have been. Theories that impose constraints against only intended harming or proximally caused harm have unacceptable implications for (...) choices between more and less harmful ways of securing greater goods. This leaves as plausible only theories that impose constraints against causing some unintended distal harms. But, I argue, given the distal harms our actions are likely to cause through their butterfly effects, these theories entail that any way of sustaining our lives is overwhelmingly likely to involve unjustified killing, and that we are therefore morally required either to allow ourselves to waste away or kill ourselves. (shrink)

Given certain standard assumptions-that particular sentences are meaningful, for example, and do genuinely self-attribute their own falsity-the paradoxes appear to show intriguing patterns of generally unstable semantic behavior. In what follows we want to concentrate on those patterns themselves: the pattern of the Liar, for example, which if assumed either true or false appears to oscillate endlessly between truth and falsehood.

After the discoveries of such scholars as J. H. Poincaré, E. N. Lorenz, I. Prigogine, etc. the term ‘chaos’ is used actively by representatives of various scientific fields; however, one important aspect remains uninvestigated: which attitude one should have toward chaotic phenomena. This is a philosophical question and my dissertation aims to find the answer in the history of philosophy, where chaos theme has had its investigators from ancient philosophy to the philosophical theories of the 21st century. My (...) dissertation is based on the idea that sciences and philosophy can achieve significant success in exploring chaos theme when their efforts are combined. This dissertation research is designed to help in the planning of conscious, rational actions towards chaotic phenomena, since it is aimed at exploration and systematic presentation, as well as comprehension of possible systems of such actions – philosophical strategies for interacting with chaos. -/- Results of the dissertation are the following. I reveal, reconstruct, and explain the content of six possible strategies for interacting with chaos that were worked out in history of philosophical thought: ordering, avoiding, transfiguring, preventing, controlling, and integrating. I argue that the first philosophical strategies for interacting with chaos were worked out in the 19th century by German philosophers K. W. F. Schlegel and F. W. Nietzsche on the basis of their rethinking the ideas which were expressed by different thinkers during classical antiquity, the Middle Ages, and the modern period. I show that ideas of strategic views towards chaos were also elaborated by such 20th-century thinkers as H. Rickert, N. Berdyaev, I. Prigogine, H. Haken, G. Deleuze, Q. Meillassoux, and others. I outline the main stages of the evolution of philosophical strategies for interacting with chaos as well as its regularities. The dissertation shows perspectives of further development of each one of the six strategies for interacting with chaos. -/- In contemporary scientific and philosophical research on chaos, my exploration contributes to the new approach to improving the understanding of aims of acts towards chaotic phenomena. I think that knowing a range of different strategic views of chaos help researchers of chaotic phenomena to choose the most appropriate and rational reactions. In the area of history of philosophy, my research contributes detailed data about development and conceptual transformations of the notion of ‘chaos’ through all periods of Western philosophy. -/- The dissertation consists of five chapters: 1) Literature Review, Methodology and Key Research Terms, 2) Ancient and Medieval Philosophical Ideas about Chaos, 3) Genesis of the First Strategies for Interacting with Chaos, 4) Strategies for Interacting with Chaos in the 20th and 21st Centuries, 5) Regularities and Prospects of the Development of Philosophical Strategies for Interacting with Chaos. In the first chapter I analyze more than five hundred books, articles, and other philosophical and scientific sources in which the chaos theme is raised. I also argue the necessity of applying methods such as analysis, the structural method, the hermeneutic method of interpretation, and the comparative method in my dissertation research. Moreover, in this chapter, I define key terms for my dissertation – ‘chaos’ and ‘philosophical strategies for interacting with chaos.’ -/- Then, in the next chapter, I analyze the appearance and development of Ancient and Medieval philosophical ideas about chaotic phenomena and order. Particularly, I explore thoughts of philosophers such as Anaxagoras, Anaximander, Heraclitus, Empedocles, Plato, Aristotle, Augustine of Hippo, Bernard Silvestris, Ramon Llull, etc. In this chapter I also compare the first Western ideas about chaos with similar thoughts from Eastern philosophy, analyzing Indian and Chinese philosophical ideas about disorder. -/- In the third chapter I explore transformations in understanding the meaning of the term ‘chaos’ in philosophy from the 15th to the end of the 19th century. I analyze ideas about chaos and order from thinkers such as M. Ficino, Paracelsus, F. Bacon, P. Bayle, Voltaire, J. G. Herder, I. Kant, F. W. J. Schelling and other philosophers from the Renaissance, the Age of Enlightenment, and the German idealist period, showing that these thinkers’ new approaches to interpreting the notion of ‘chaos’ were the background for K. W. F. Schlegel’s and F. W. Nietzsche’s creations of the first strategies for interacting with chaos in the 19th century. I finish the chapter with detailed analysis of K. W. F. Schlegel’s strategy for transfiguring chaos and F. W. Nietzsche’s strategy for ordering chaos. -/- The development of philosophical strategies for interacting with chaos in the 20th and the beginning of the 21st century is the topic of the fourth chapter. I research new ideas about ordering chaos (H. Rickert) and transfiguring chaos (N. Berdyaev). Also, I reveal thoughts about avoiding chaos (A. Camus), preventing chaos (J. Ortega y Gasset), integrating chaos (G. Deleuze, Q. Meillassoux). Moreover, I analyze a philosophical component of the strategy for chaos control (I. Prigogine, H. Haken). In the final fifth chapter of the dissertation I trace the major features of philosophical strategies for interacting with chaos and find out the main conditions and periods of their development. Then I outline the prospects for the development of the philosophical strategies for interacting with chaos and show the most productive ways of their progress. (shrink)

The ecological crisis demonstrates the inadequacy of current modes of thought to grasp the nature of reality and to act accordingly. A more sophisticated metaphysical system is necessary. Arran Gare, a prominent Australian philosopher, has produced such a system, which takes into account the post modern sciences of non-linear thermodynamics, quantum mechanics, and complexity theory. The present article promotes a cosmology based on Gare's metaphysics. In contrast to modern science, the postmodern account offered here will come to terms with (...) a world governed by indifference, which is the same indifference that Albert Camus describes as "absurd". Camus will be interpreted in light of Gare's metaphysics. (shrink)

Wer humanitäre Kriege moralisch beurteilen will, muss sich in einem chaotischen Meer der Möglichkeiten auskennen; er muss (z.B. in der Rückschau) wissen, was geschehen wäre, hätten sich die Akteure anders entschieden. Solche Fragen betreffen keine Fakten, sondern Kontrafakten; mit kühlem Realitätssinn alleine ist diesen Fragen nicht beizukommen. Im Herzstück dieses Aufsatzes steht eine erkenntnistheoretische Analyse kontrafaktischer Sätze (VI-XIII). Wenn ich recht liege, müssen wir uns bei der Beurteilung solcher Sätze nicht nur an die harten Fakten halten; zusätzlich brauchen wir weichere (...) Beurteilungskriterien wie Einfühlungsvermögen, narrative Intelligenz, Phantasie – und Werthaltungen. Dass eine bestimmte Form von Pazifismus im Lichte dieser erkenntnistheoretischen These an Plausibilität gewinnt, versuche ich in den Schlussabschnitten anhand des Kosovo-Kriegs plausibel zu machen. Der Aufsatz beginnt mit ausserrationalen Betrachtungen zugunsten des Pazifismus und versucht insgesamt, allerlei angeblich vernünftigen Gegenargumenten den Wind aus den Segeln zu nehmen. (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)

This paper explores the paradox of free speech through the lens of the Chiral Dynamics of Emergent Systems (CODES), a theory that frames all phenomena as existing in a dynamic equilibrium between chaos and order. Free speech, as a concept, sits at the intersection of these forces: too much order (censorship) stifles its purpose, while too much chaos (unchecked speech) undermines its societal utility. By applying CODES, we provide a systemic and mathematical framework to understand how free (...) speech operates as an emergent adaptive system and propose a model for its equilibrium. (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)

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)

The quest for a unified “Theory of Everything” that explains the fundamental nature of the universe has long been a holy grail for scientists and philosophers. -/- “A theory of everything (TOE), final theory, ultimate theory, unified field theory, or master theory is a singular, all- encompassing, coherent theoretical framework of physics that fully explains and links together all aspects of the universe, finding a theory of everything is one of the major unsolved (...) problems in physics". - Theory of Everything, Wikipedia Dating back to ancient times, when the Greeks sought the Arche - the fundamental principle underlying existence - the pursuit of a single unifying theory to explain the multifaceted world began. Thales of Miletus (born c. 624-620 BCE – died c. 548-545 BCE) held that everything had come out of water. [2] -/- Since then, the attempt to unify physics theories has never ceased. Yet, after decades of effort, this research still faces significant challenges. The current status is: “at present, there is no candidate theory of everything that includes the standard model of particle physics and general relativity and that, at the same time, is able to calculate the fine-structure constant or the mass of the electron.”[4] -/- For this reason, rethinking the direction of this research is necessary and has revealed some fundamental issues. If the term, A Theory of Everything, is truly “all-encompassing, coherent theoretical framework of physics that fully explains and links together all aspects of the universe,” then candidates for a ToE should encompass life phenomena, including biology, sociology and medical sciences. However, the mainstream of this research completely neglects biological systems or simply ignores them. None of the current candidates can explain life phenomena. This difficulty stems from the traditional physics-centric culture. -/- Therefore, the approach to this research should accordingly expand to encompass other perspectives, including biology, sociology, medical sciences, and scientific philosophy, rather than physics only. -/- In fact, such an endeavor with a fundamentally different direction of approach began its journey in the late 1990s, presenting a viable alternative to address the challenge of a Theory of Everything. This approach does not seek the ultimate “building block” but rather aims to uncover the intangible rules that fundamentally govern everything in the universe, seeking their universality across the vast spectrum, from the minute subatomic world to the mega mass cosmic world and the magical biological world. -/- As the result, a set of the fundamental interrelationships is introduced and represented by a model, the Fundamental Interrelationships Model. -/- The Fundamental Interrelationships Model, abbreviated as the Interrelationships Model (IRM) is a conceptual framework presented in the form of a diagram. This model encompass a wide range of relationships, including serial-parallel relationships, transition of state, critical point, continuation-discontinuation, convergence-divergence, contraction-expansion, singularity-plurality, commonality-difference, similarity, symmetry-asymmetry, dynamics-stability, order-disorder, limitation, without limitation, hierarchical structure, and interconnectedness. -/- Crucially, unlike current theories for a Theory of Everything (ToE) that predominantly focus on lifeless phenomena, the Interrelationships Model asserts that everything, whether lifeless events or living phenomena, are specific expressions of the fundamental interrelationships. This viewpoint can be demonstrated through the following well-established laws of physics and biological phenomena. -/- Built on the foundation of the Fundamental Interrelationships Model, a collection of well-established laws and theories of physics are represented and unified, demonstrating that they are specific expression of the fundamental interrelationships, including Newton’s three laws of motion, the four laws of thermodynamics, Einstein’s space-time relationship, Heisenberg’s uncertainty principle, Noether’s theorem, Schrodinger’s wave function collapse, chaos theory and complexity theory. The list continues to grow… Not only are those lifeless laws of physics specific expressions of the fundamental interrelationships but those biological phenomena as well, including adaptation, natural selection, driving force of evolution, transition from unicellularity to multicellularity, increase of complexity, division of labor, coordination, cooperation and negligible conflict. -/- Based on this model, a groundbreaking research outcome has been, for the first time, put forward: a new hypothesis unifying the Big Bang theory with the evolutionary theory. The research result unequivocally demonstrates that the evolution of life also follows the fundamental laws of physics, marking a significant stride toward addressing the longstanding challenge of a comprehensive Theory of Everything. (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)

Lecture on Nietzsche's relativism and perspectivism given at a conference on the 'crisis of reason' in Amersfoort, the Netherlands, October 26, 1991. Nietzsche claims that truth does not exist and knowledge is not possible, because knowledge serves life and is bound to an organic position. In fact, this is a paradox that refutes itself. Knowledge has evolved precisely because organisms must have limited, perspectivistic knowledge of their environment from a subjective point of view. In science, subjectivity can even be transcended (...) to some extent by making models that take into account the effects of our subjective experience of the world. The fact that theories are ‘just models’, ‘just interpretations’ does not mean that knowledge is impossible, because models and interpretations can be improved, corrected and be more or less adequate. In fact, Nietzsche relativism is incompatible with his metaphysical, psychological and ethical claims which implicitly claim a kind of philosophical or scientific progress. (shrink)

I examine explanations’ realist commitments in relation to dynamical systems theory. First I rebut an ‘explanatory indispensability argument’ for mathematical realism from the explanatory power of phase spaces (Lyon and Colyvan 2007). Then I critically consider a possible way of strengthening the indispensability argument by reference to attractors in dynamical systems theory. The take-home message is that understanding of the modal character of explanations (in dynamical systems theory) can undermine platonist arguments from explanatory indispensability.

An Omega Point Theory says that reality is making progress from some initial state to some final state. It moves from some Alpha Point (the initial state) to some Omega Point (the final state). The progress is an increase in some quality. For example, reality is making progress from the chaotic to the orderly; or it is making progress from the simple to the complex; or from the mindless to the mental; or from evil to good. Here we focus (...) on the Omega Point theory of Peirce. An Omega Point Theory is an evolutionary cosmology – it says that the universe is evolving from the Alpha Point to the Omega Point. Peirce refers to his evolutionary cosmology as a Cosmogonic Philosophy would suppose that in the beginning – infinitely remote – there was a chaos of unpersonalized feeling, which being without connection or regularity would properly be without existence. This feeling, sporting here and there in pure arbitrariness, would have started the germ of a generalizing tendency. Its other sportings would be evanescent, but this would have a growing virtue. Thus the tendency to habit would be started; and from this, with the other principles of evolution, all the regularities of the universe would be evolved. At any time, however, an element of pure chance survives and will remain until the world becomes an absolutely perfect, rational, and symmetrical system, in which mind is at last crystallized in the infinitely distant future. (Peirce, Collected Papers , 6.33). (shrink)

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

This article starts by identifying the phenomena that Hume thought to explain the need, hence utility, of a rudimentary system of property. Then, and prominently, it considers Hume’s arguments for believing that only a system of private property is justifiable. Hume argues that only in a society with adequate but not absolute abundance and altruism does property have a point or purpose. Property’s basic job, then, is that of addressing conflict and disagreement among persons of limited altruism and means, and (...) so property’s primary purpose is regulative and adjudicative. This point is not disturbed by fluctuations in altruism or the extent of abundance that might result from differing social arrangements. Thus Hume’s explanation of property is logically separable from the question of what kind of system of ownership is justifiable. This raises the central topic of the paper: Does Hume provide arguments showing not only that a system of private property is justifiable but that only such a system will suffice to avoid a condition of chaos and savagery? As argued here, while Hume’s arguments to this conclusion repay careful consideration, they fail and to show that only a system of ownership dominated by private property is justifiable. (shrink)

Progress in the last few decades in what is widely known as “Chaos Theory” has plainly advanced understanding in the several sciences it has been applied to. But the manner in which such progress has been achieved raises important questions about scientific method and, indeed, about the very objectives and character of science. In this presentation, I hope to engage my audience in a discussion of several of these important new topics.

It is impossible to study philosophical methodology without being struck by the state of absolute chaos of the field’s methodological practices, methodological norms, and metaphilosophical beliefs. Not only are the methods of formal epistemology nothing like the methods of aesthetics, but even within specific debates and subfields, there are often significant disagreements about standards of proof, to say nothing about disagreements about the ultimate nature of the debate. The question facing metaphilosophers is whether this chaos is a feature (...) or a bug. Is the chaos a part of philosophy’s value as an incubator for new ideas or a sign that many philosophers have lost their way and are holding back philosophical progress? (shrink)

Most physics theories are deterministic, with the notable exception of quantum mechanics which, however, comes plagued by the so-called measurement problem. This state of affairs might well be due to the inability of standard mathematics to “speak” of indeterminism, its inability to present us a worldview in which new information is created as time passes. In such a case, scientific determinism would only be an illusion due to the timeless mathematical language scientists use. To investigate this possibility it is necessary (...) to develop an alternative mathematical language that is both powerful enough to allow scientists to compute predictions and compatible with indeterminism and the passage of time. We suggest that intuitionistic mathematics provides such a language and we illustrate it in simple terms. (shrink)

J’ai lu de nombreuses discussions récentes sur les limites du calcul et de l’univers en tant qu’ordinateur, dans l’espoir de trouver quelques commentaires sur le travail étonnant du physicien polymathe et théoricien de la décision David Wolpert, mais n’ont pas trouvé une seule citation et je présente donc ce résumé très bref. Wolpert s’est avéré quelques théoricaux d’impossibilité ou d’incomplétude renversants (1992 à 2008-voir arxiv dot org) sur les limites de l’inférence (computation) qui sont si généraux qu’ils sont indépendants de (...) l’appareil faisant le calcul, et même indépendamment des lois de la physique, ainsi ils s’appliquent à travers les ordinateurs, la physique, et le comportement humain. Ils utilisent la diagonalisation de Cantor, le paradoxe menteur et les worldlines (lignes du monde) pour fournir ce qui peut être le théorème ultime dans Turing Machine Theory, et apparemment fournir des aperçus de l’impossibilité, l’incomplétude, les limites du calcul, et l’univers comme ordinateur, dans tous les univers possibles et tous les êtres ou mécanismes possibles, générant, entre autres, un principe d’incertitude mécanique non quantique et une preuve de monothéisme. Il existe des connexions évidentes à l’œuvre classique de Chaitin, Solomonoff, Komolgarov et Wittgenstein et à l’idée qu’aucun programme (et donc aucun dispositif) ne peut générer une séquence (ou un dispositif) avec une plus grande complexité qu’il ne possède. On pourrait dire que cet ensemble de travaux implique l’athéisme puisqu’il ne peut y avoir d’entité plus complexe que l’univers physique et du point de vue wittgensteinien, « plus complexe » n’a aucun sens (n’a pas de conditions de satisfaction, c’est-à-dire véridique ou test). Même un « Dieu » (c’est-à-dire un « dispositif » avec un temps/ espace et une énergie illimité) ne peut pas déterminer si un « nombre » donné est « aléatoire», ni trouver un certain moyen de montrer qu’une « formule » donnée, un « théorème » ou une « phrase » ou un « dispositif » (tous ces jeux de langage complexes) fait partie d’un « système » particulier. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deux systemes peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir 'Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 2ème ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2019) et autres. (shrink)

This paper discusses the extent to which advances in quantum physics can affect ideas of free will and determinism. It questions whether arguments that conclude the existence of free will from quantum physics are as valid as they seem. -/- The paper discusses the validity of Searle’s philosophy of mind, Robert Kane’s parallel processing, and Ted Honderich’s near-determinism, as well as dealing with chaos theory, the relationship between ‘randomness’ and ‘unpredictability,’ and Bell’s theorem, discussing how they can be (...) used to answer the question regarding quantum physics and free will. -/- The paper is tentative towards forming any definitive conclusion due to the ambiguity and confusion surrounding quantum physics but alludes to the idea that quantum randomness not only retracts from universal determinism, but also retracts from human free will, thus theorising a form of universal chaos and unpredictability. (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)

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)

Ich habe viele kürzliche Diskussionen über die Grenzen der Berechnung und das Universum als Computer gelesen, in der Hoffnung, einige Kommentare über die erstaunliche Arbeit des Polymath Physikers und Entscheidungstheoretikers David Wolpert zu finden, aber habe kein einziges Zitat gefunden und so präsentiere ich diese sehr kurze Zusammenfassung. Wolpert bewies einige verblüffende Unmöglichkeit oder Unvollständigkeit Theoreme (1992 bis 2008-siehe arxiv dot org) über die Grenzen der Schlussfolgerung (Berechnung), die so allgemein sind, dass sie unabhängig von dem Gerät, das die Berechnung, (...) und sogar unabhängig von den Gesetzen der Physik, so dass sie für Computer, Physik und menschliches Verhalten gelten. Sie nutzen Cantors Diagonalisierung, das Lügner-Paradoxon und die Weltlinien, um das vielleicht ultimative Theorem in turing Machine Theory zu liefern, und geben scheinbar Einblicke in Unmöglichkeit, Unvollständigkeit, die Grenzen der Berechnung und das Universum als Computer, in alle möglichen Universen und alle Wesen oder Mechanismen, was unter anderem ein nicht quantenmechanisches Unsicherheitsprinzip und einen Beweis für Monotheismus erzeugt. Es gibt offensichtliche Verbindungen zum klassischen Werk von Chaitin, Solomonoff, Komolgarov und Wittgenstein und zu der Vorstellung, dass kein Programm (und damit kein Gerät) eine Sequenz (oder ein Gerät) mit größerer Komplexität erzeugen kann, als es besitzt. Man könnte sagen, dass dieses Werk den Atheismus impliziert, da es keine Entität geben kann, die komplexer ist als das physikalische Universum, und aus Wittgensteins Sicht ist "komplexer" bedeutungslos (hat keine Bedingungen der Befriedigung, d.h. Wahrheitsmacher oder Test). Selbst ein "Gott" (das heist ein "Gerät" mit unbegrenzter Zeit/Raum und Energie) kann weder bestimmen, ob eine bestimmte "Zahl" "zufällig"ist, noch einen bestimmten Weg finden, um nachzuweisen, dass eine bestimmte "Formel", "Satz" oder "Satz" oder "Gerät" (alles komplexe Sprachspiele) Teil eines bestimmten "Systems" ist. Wer aus der modernen zweisystems-Sichteinen umfassenden, aktuellen Rahmen für menschliches Verhalten wünscht, kann mein Buch "The Logical Structure of Philosophy, Psychology, Mindand Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019) konsultieren. Diejenigen,die sich für mehr meiner Schriften interessieren, können Talking Monkeys--Philosophie, Psychologie, Wissenschaft, Religion und Politik auf einem verdammten Planeten --Artikel und Rezensionen 2006-2019 2nd ed (2019) und Suicidal Utopian Delusions in the 21st Century 4th ed (2019) und andere sehen. (shrink)

This wide ranging discourse covers many disciplines of science and the human condition in an attempt to fully understand the manifestation of time. Time's Paradigm is, at its inception, a philosophical debate between the theories of 'Presentism' and 'The Block Model', beginning with a pronounced psychological analysis of 'free will' in an environment where the past and the future already exist. It lays the foundation for the argument that time is a cyclical, contained progression, rather than a meandering voyage into (...) infinity, bringing into question the validity of a commensurate 'Big Bang'. Following, the proposal widens to encompass physics. It tackles clock rates and time dilation, acausality and the nuisance of a universal clock, and demonstrates that conscious consideration creates the present moment - time's flow - separating the solid state past and future whose reality is devoid of space. Arguments relating to Quantum Physics theory, including the Uncertainty Principle and a Superposition of States, lend credibility to key areas involving cognitive awareness. It is posited that defined points in time and space prohibit progress in linear models for progression. Thus motile paradoxes can be resolved with the absence of infinities; temporal perception, it is concluded, being the result of uncertainty. Time's Paradigm takes the bold step of asking us to consider a tangible dimension of time, representing an intimate extension of our three, known spatial dimensions. Chaos theory is briefly introduced leading to the configuration of a fractal fourth dimension of time whose assumption demands only one direction of flow. Further, it asks whether our universe is expanding or contracting. It considers the simple physics of bodies contracting in a fourth dimension of time (UC), and how that marries comfortably with standard scientific models such as Special Relativity. The rate at which matter is contracting in the universe is illustrated in a reduction factor of 1.618... coinciding with Fibonacci's Ratio and countering Time Dilation. Lastly the more complex aspects of relativistic velocities are tackled together with the conundrum of Zero Velocity and The Speed of Light being attributes of the same event in Cyclical Space-Time, and ultimately, the prospect of superluminal velocities by interaction with parallel time-zones in a multi-layered block universe. (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)

Genius Is Not About Popularity -/- Throughout history, the concept of genius has often been misunderstood. Many equate genius with fame, believing that the most recognized figures in science, art, and philosophy are necessarily the greatest minds. However, true genius is not about popularity; it is about depth of insight, originality of thought, and contributions to human progress, regardless of public recognition. Some of the most brilliant minds were overlooked in their time, yet their ideas shaped the future. This essay (...) explores why genius is independent of popularity and how history has proven that true intellectual greatness often transcends societal recognition. -/- The Nature of Genius -/- Genius is characterized by extraordinary intellectual ability, creativity, and the capacity to think beyond conventional wisdom. A true genius is not necessarily someone who seeks attention or public validation but someone who pursues knowledge and innovation for its own sake. Many geniuses are ahead of their time, which can result in their ideas being ignored or misunderstood. Unlike celebrities or influential public figures, a genius does not necessarily attract mass appeal because their work often requires a level of understanding that only a few can appreciate during their lifetime. -/- Unrecognized Geniuses in History -/- History is filled with examples of individuals whose genius was not recognized until long after their death. One of the most famous cases is Nikola Tesla, a brilliant inventor and engineer whose contributions to electrical engineering were largely overshadowed by more business-savvy figures like Thomas Edison. Tesla’s work on alternating current (AC) power revolutionized the world, yet he died in relative obscurity. -/- Another example is Gregor Mendel, the father of modern genetics. Mendel’s groundbreaking experiments with pea plants laid the foundation for genetic inheritance, yet his work was largely ignored during his lifetime. It was only decades later that scientists realized the significance of his discoveries, which are now fundamental to biology. -/- Similarly, Vincent van Gogh is celebrated today as one of the greatest painters in history, yet he sold only a few paintings during his lifetime. His artistic vision was not widely appreciated, and he struggled with poverty and mental illness. His posthumous fame is a testament to how genius is often ahead of its time and only recognized when society catches up with its vision. -/- The philosopher Søren Kierkegaard, who laid the foundation for existentialist thought, was largely dismissed during his lifetime. Today, his writings influence fields as diverse as philosophy, psychology, and theology. Similarly, Ada Lovelace, who worked on Charles Babbage’s early mechanical computer, was virtually unknown during her time but is now recognized as one of the first computer programmers. -/- Alan Turing, whose work in cryptography helped end World War II, was largely unrecognized in his lifetime due to prevailing social prejudices. His contributions to computer science and artificial intelligence were only widely acknowledged decades after his tragic death. Likewise, the works of Emily Dickinson, now considered some of the greatest poetry in American literature, remained unpublished until after her passing. -/- Another overlooked genius was Hypatia of Alexandria, a pioneering mathematician, astronomer, and philosopher in ancient Greece. Despite her immense contrib”tions to science and philosophy, she was largely erased from history due to political and religious turmoil. Similarly, Joseph Priestley, the scientist who discovered oxygen, did not receive immediate recognition because his findings conflicted with mainstream scientific beliefs at the time. -/- Another modern example is Rosalind Franklin, whose work in X-ray crystallography was crucial to the discovery of DNA’s double helix structure. However, her contributions were overshadowed by Watson and Crick, who received most of the credit for the discovery. Additionally, Ignaz Semmelweis, a 19th-century physician who introduced handwashing in medical practice to prevent infections, was dismissed and ridiculed during his time, only for his ideas to become foundational in modern medicine. -/- Other overlooked geniuses include Ludwig Boltzmann, who developed statistical mechanics, a cornerstone of modern physics. His work was dismissed by many during his lifetime, leading to his tragic death. Similarly, Emmy Noether, one of the greatest mathematicians in history, made groundbreaking contributions to abstract algebra and theoretical physics but was largely unrecognized due to gender biases. -/- Johan Sebastian Bach, now considered one of the greatest composers, was not widely appreciated during his lifetime and was overshadowed by more fashionable composers of his era. Likewise, Henri Poincaré, whose work in mathematics and theoretical physics laid the groundwork for chaos theory and relativity, was often overlooked in favor of his contemporaries. -/- Popularity vs. Impact -/- Popularity is often dictated by trends, media influence, and societal values, whereas genius is about intellectual contribution and long-term impact. Many popular figures may gain widespread recognition due to charisma, marketing, or entertainment value, but that does not necessarily mean they have made groundbreaking contributions to human knowledge. In contrast, some of the most transformative ideas in science, philosophy, and art have come from individuals who were not widely known in their era. -/- Moreover, some geniuses actively avoid the spotlight, preferring to focus on their work rather than public recognition. Albert Einstein, despite becoming famous later in life, initially worked in obscurity as a patent clerk before his theories revolutionized physics. Similarly, mathematician Srinivasa Ramanujan made astonishing contributions to number theory without formal education or widespread recognition during his lifetime. -/- The Importance of Recognizing True Genius -/- While popularity can bring attention to ideas, it is important to differentiate between recognition and true intellectual brilliance. Society should strive to support and acknowledge innovative thinkers even if their ideas are not immediately understood or appreciated. Educational institutions, scientific communities, and cultural organizations have a responsibility to foster environments where unconventional ideas can thrive, ensuring that genius is recognized based on merit rather than mass appeal. -/- Conclusion -/- Genius is not about popularity; it is about profound intellectual contributions that shape the world. Many great minds were overlooked in their time, only to be celebrated long after their deaths. History shows that true genius often works in obscurity, pushing the boundaries of knowledge regardless of societal recognition. Instead of equating fame with intelligence, we should value deep thinking, innovation, and originality, ensuring that future generations recognize and support those who truly advance human understanding. -/- . (shrink)

Description In this paper, we propose an advanced mathematical framework centered around the Energy Number Field (E), which fundamentally avoids the conventional concept of zero by introducing a neutral ele- ment, νE. Through this approach, we redefine core mathematical constructs, including limits, continuity, differentiation, integration, and series summation, ensuring they operate seamlessly within a zero-less paradigm. We address and redefine matrix operations, topology, metric spaces, and complex analysis, aligning them with the principles of E. Additionally, we explore non-mappable properties of (...) energy numbers in the context of symmetry groups, non-standard fields, fractional calculus, and non-Euclidean geometries. By employing νE as the central element, our framework resolves conventional zero-related sin- gularities and computational anomalies, offering a novel perspective that bridges advanced mathematical theories with practical applications in physics, computational algorithms, and topological transforma- tions. This work paves the way for future research to experimentally validate these formulations and explore potential applications in advanced physics, quantum mechanics, and beyond. (shrink)

MICHELLE MARDER KAMHI offers an in-depth response to The Aesthetics Symposium. In addition to answering many of the contributors’ objections to What Art Is: The Esthetic Theory of Ayn Rand, she offers a critique of their own theses—in particular, Barry Vacker’s claim that chaos theory is implicit in Rand’s aesthetics, Jeff Riggenbach’s argument that much of Rand’s theory was anticipated by Susanne Langer and Stephen Pepper, and Roger Bissell’s suggestion that the concept of a microcosm be (...) applied to Rand’s view of the function of art. (shrink)

The epistemology and phenomenology of contemporary society tend to be deepened, and the philosophical challenges never are minimal that we may be called to face with the kind of post-modern chaos from the rapidly changing phenomena of the global community. The ballast held on the identity of faculty members as a teacher and researcher now turns due so as to be recast with our intrinsic of routine performance. I considered their quality as bent on the intellectual strife on the (...) method and the kind of attitude, say, evaluation and consultation. In this paper, the authors have presented some thought and implications that triangulated the triad, i.e., research methodology, program evaluation and consulting illustration on the college research program rankings. The author is hoped that the discourse can help the academicians to share the attribute of different methods as well as the dimension of evaluation and consulting, perhaps essentially related with their work role in terms of teaching and researching. Keywords: Research Method, Qualitative Studies, Mixed Method, Program Evaluation, Theory and Philosophy, Program Rankings, Consulting, Journal Writing. (shrink)

In what follows, I suggest that, against most theories of time, there really is an actual present, a now, but that such an eternal moment cannot be found before or after time. It may even be semantically incoherent to say that such an eternal present exists since “it” is changeless and formless (presumably a dynamic chaos without location or duration) yet with creative potential. Such a field of near-infinite potential energy could have had no beginning and will have no (...) end, yet within it stirs the desire to experience that brings forth singularities, like the one that exploded into the Big Bang (experiencing itself through relative and relational spacetime). From the perspective of the eternal now of near-infinite possibilities (if such a sentence can be semantically parsed at all), there is only the timeless creative present, so the Big Bang did not happen some 13 billion years ago. Inasmuch as there is neither time past nor time future nor any time at all at the null point of forever, we must understand the Big Bang (and all other events) as taking place right here and now. In terms of the eternal now, the beginning is happening now and we just appeared (and are always just appearing) to witness it. The rest is all conscious construction; time and experience are so entangled, they need each other to exist. (shrink)

Every metaphysic, according to Reiner Schürmann, involves the positing of a first principle for thinking and doing whereby the world becomes intelligible and masterable. What happens when such rules or norms no longer have the power they previously had? According to Cornelius Castoriadis, the world makes sense through institutions of imaginary significations. What happens when we discover that these significations and institutions truly are imaginary, without ground? Both thinkers begin their ontologies by acknowledging a radical finitude that threatens to destroy (...) meaning or order. For Schürmann it is the ontological anarchy revealed between epochs when principles governing modes of thinking and doing are foundering but new principles to take their place have not yet emerged. For Castoriadis it is chaos that names the indeterminationdetermination that governs the unfolding of the socio-historical with contingency and unpredictability. And yet for both thinkers their respective ontologies have political or ethical implications. On the basis of the anarchy of being, Schürmann unfolds an anarchic praxis or ethos of “living without why.” And on the basis of his notion of being as chaos, Castoriadis develops his political praxis of autonomy. The challenge for both is this move from ontology to practical philosophy, how to bridge theory and practice. The key for both seems to be a certain ontologically derived sense of freedom. In this paper, I analyze and compare their respective thoughts, and pursue the question of how anarchy or chaos and the implied sense of an ontological freedom might be made viable and sensible for human praxis, how radical finitude in the face of ontological groundlessness might nevertheless serve to situate a viable political praxis. (shrink)

Космовидение - термин, под которым следует понимать совокупность оснований, из которых возникает системное понимание Вселенной, таких ее составляющих, как жизнь, мир, в котором мы живем, природа, феномен человека, и их взаимосвязей. таким образом, это область аналитической философии, питаемая науками, целью которой является совокупное и эпистемологически устойчивое знание обо всем, чем мы являемся и что в нас содержится, что нас окружает и что так или иначе с нами связано. это старое, как человеческая мысль, понятие, которое не только использует элементы научной космологии, (...) но и охватывает все, что относится к вселенной и жизни в философии и науке. Космовидение — это не набор идей, гипотез и предположений, а система, основанная на наблюдениях, анализе, доказательствах и демонстрациях. Космовидение не ставит своей целью определить, установить или предложить, а лишь понять, проанализировать и интерпретировать. Каждый из нас строит и переносит свое космовидение в течение жизни, не устанавливая форм, как фон для нашего мышления и поведения. С лингвистической точки зрения термин "космовидение" происходит от немецкого, эквивалентного понятию "Weltanschauung", используемому рядом философов. Однако эта лингвистическая связь неприменима, поскольку противоречит тому, что мы предлагаем в качестве космовидения. Это немецкое слово обозначает дологическое или протоэкспериментальное видение реальности, имеющее интуитивный контекст и далекое от критического знания, еще не существовавшего на момент его формулировки. Несомненно, космовидения в том смысле, как мы их понимаем, содержат и используют эти протоэкспериментальные или дологические элементы, включающие историю, коллективное бессознательное и все архетипы, которые мы носим в себе. Однако в той концепции, которую мы здесь применяем, космовидение выходит далеко за пределы этого содержания, во-первых, постоянно подчиняя его современному критическому мышлению и, наконец, делая аналитический опыт (а не саму мысль или интуицию) своей актуальной вселенной. Антониу Лопес раскрывает широту этого содержания: -/- "Космовидения не являются продуктом мысли. Они не возникают из простого желания знать. Постижение реальности - важный момент в ее конфигурации, но, тем не менее, только один. Оно исходит из жизненного поведения, из жизненного опыта, из структуры нашей психической совокупности. Возвышение жизни до сознания в познании реальности, в оценке жизни и в волевой реальности — это медленная и тяжелая работа, которую проделало человечество в развитии представлений о жизни". (В. Дильтей, 1992 [1911]: 120)". . В данной работе мы стремимся изложить космовидение, основанное на тех реалиях, которые сегодня предлагает наука. Мы ни в коем случае не собираемся заниматься наукой или теоретизировать философию, но всегда будем стремиться опираться на них или, по крайней мере, защищаться ими от тех когнитивных искажений, которые мы обычно несем. (shrink)

It is not by thinking that we create worlds. It is by understanding the world that we learn to think. Cosmovision is a term that should mean a set of foundations from which emerges a systemic understanding of the Universe, its components as life, the world we live in, nature, human phenomena, and their relationships. It is, therefore, a field of analytical philosophy fed by the sciences, whose objective is this aggregated and epistemologically sustainable knowledge about everything that we are (...) and contain, that surrounds us, and that relates to us in any way. It is something as old as human thought, and, in addition to using elements of scientific cosmology, it encompasses everything in philosophy and science that refers to the universe and life. A cosmovision is not a set of ideas, hypotheses, and assumptions but a system based on observation, analysis, evidence, and demonstration. No cosmovision intends to define, establish, or propose but only to understand, analyse, and interpret. Each of us builds and transports his cosmovision throughout life, without establishing forms, as a background for our thinking and behaviour. Linguistically, the term “cosmovision” would derive from the German, equivalent to the concept of “ Weltanschauung,” as used by several philosophers. However, this linguistic relationship is not applicable because it contradicts what we propose as a cosmovision. This German word refers to a pre-logical or proto- experimental vision of reality, with an intuitive context and far from critical knowledge still non-existent at the time of its formulation. Undoubtedly, cosmovisions, in the sense in which we understand them, house and use these proto-experimental or pre-logical elements that include history, the collective unconscious, and all the archetypes we carry. However, in the concept that we apply here, the cosmovision goes far beyond this content, firstly by constantly submitting it to present critical thinking, and finally by making the analytic experience ( and not the thought itself or intuition) its actual universe. António Lopes expose the breadth of this content: -/- "Cosmovisions are not the product of thought. They do not spring from the simple desire to know. The apprehension of reality is an important moment in its configuration, but, nevertheless, it is only one. It comes from the vital conduct, from the experience of life's evaluation, and from the structure of our psychic totality. The elevation of life to consciousness in the knowledge of reality, in the valuation, and in the volitional reality is the slow and arduous work that humanity has done in the development of the conceptions of life. (W. Dilthey, 1992 [1911]: 120)”(1) -/- In this work, we seek to outline a cosmovision based on the realities that science offers today. We do not propose, at any time, to do science; or theorise philosophy, but we will always seek to be supported by them or, at least, protected by them from the cognitive distortions that we usually carry. ________________________________________________ (1) Lopes , Antonio – “ Weltanschauung (Cosmovision)” (2009 ) in Carlos Ceia's E-Dictionary of Literary Terms. -/- . (shrink)

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)

Kì í ṣe nipa ronu la fi ń ṣẹda àwọn ayé; ṣùgbọ́n nípa agbọye ayé wa la fi ń kọ ẹ̀kọ bí a ṣe lè ronu. Cosmovision jẹ ọrọ kan ti o yẹ ki o tumọ si ipilẹ awọn ipilẹ lati eyiti o ṣe afihan oye eto ti Agbaye, awọn paati rẹ bi igbesi aye, agbaye ti a ngbe, iseda, iṣẹlẹ eniyan, ati awọn ibatan wọn. Nítorí náà, ó jẹ́ pápá ìmọ̀ ọgbọ́n orí ìtúpalẹ̀ tí àwọn sáyẹ́ǹsì ń jẹ, ẹni (...) tí ète rẹ̀ jẹ́ àkópọ̀ àti ìmọ̀ alágbero nípa ohun gbogbo tí a jẹ́ tí ó sì ní nínú, tí ó yí wa ká, tí ó sì ní í ṣe pẹ̀lú wa lọ́nàkọnà. O jẹ nkan ti o ti dagba bi ero eniyan, ati, ni afikun si lilo awọn eroja ti imọ-jinlẹ imọ-jinlẹ, o yika ohun gbogbo ni imọ-jinlẹ ati imọ-jinlẹ ti o tọka si agbaye ati igbesi aye. Cosmovision kii ṣe akojọpọ awọn imọran, awọn idawọle, ati awọn arosinu ṣugbọn eto ti o da lori akiyesi, itupalẹ, ẹri, ati ifihan. Ko si cosmovision ti o pinnu lati ṣalaye, fi idi mulẹ, tabi daba ṣugbọn loye nikan, ṣe itupalẹ, ati itumọ. Olukuluku wa kọ ati gbe oju-aye rẹ jakejado igbesi aye, laisi iṣeto awọn fọọmu, bi ipilẹṣẹ fun ironu ati ihuwasi wa. (shrink)

Kosmovisi Adalah Istilah yang seharusnya berarti seperangkat fondasi yang darinya muncul pemahaman sistemik tentang Alam Semesta, komponen-komponennya sebagai kehidupan, dunia tempat kita hidup, alam, fenomena manusia, dan hubungan mereka. Oleh karena itu, ini adalah bidang filsafat analitis yang disuplai oleh ilmu pengetahuan, yang tujuannya adalah pengetahuan yang terkumpul dan berkelanjutan secara epistemologis tentang segala sesuatu yang ada dan terkandung dalam diri kita, yang mengelilingi kita, dan yang berhubungan dengan kita dengan cara apa pun. Ini adalah sesuatu yang sama tuanya dengan (...) pemikiran manusia, dan, selain menggunakan unsur-unsur kosmologi ilmiah, ini mencakup segala sesuatu dalam filsafat dan sains yang mengacu pada alam semesta dan kehidupan. Kosmovisi bukanlah sekumpulan ide, hipotesis, dan asumsi, melainkan sebuah sistem yang didasarkan pada observasi, analisis, bukti, dan demonstrasi. Tidak ada kosmovisi yang bermaksud untuk mendefinisikan, menetapkan, atau mengusulkan, tetapi hanya memahami, menganalisis, dan menafsirkan. Masing-masing dari kita membangun dan membawa kosmovisi-nya sepanjang hidup, tanpa menetapkan bentuk, sebagai latar belakang pemikiran dan perilaku kita. Secara linguistic, Istilah "kosmovisi" akan berasal dari padanan bahasa Jerman untuk konsep "Weltanschauung", seperti yang digunakan oleh beberapa filsuf. Namun, hubungan linguistic ini tidak dapat diterapkan karena bertentangan dengan apa yang kami usulkan sebagai kosmovisi. Kata Jerman ini mengacu pada visi pra-logis atau proto-eksperimental tentang realitas, dengan konteks intuitif dan jauh dari pengetahuan kritis yang masih belum ada pada saat perumusannya. Tidak diragukan lagi, kosmovisi, dalam pengertian yang kita pahami, menampung dan menggunakan elemen-elemen proto-eksperimental atau pra-logis yang mencakup sejarah, ketidaksadaran kolektif, dan semua pola dasar yang kita bawa. Namun, dalam konsep yang kami terapkan di sini, kosmovisi jauh melampaui konten ini, pertama-tama dengan terus-menerus menyerahkannya untuk menghadirkan pemikiran kritis dan akhirnya dengan menjadikan pengalaman analitik (dan bukan pemikiran itu sendiri atau intuisi) sebagai alam semesta yang sebenarnya. António Lopes memaparkan luasnya konten ini: -/- "Kosmovisi bukanlah produk dari pemikiran. Mereka tidak muncul dari keinginan sederhana untuk mengetahui. Pemahaman tentang realitas adalah momen penting dalam konfigurasinya, tetapi, bagaimanapun, itu hanya satu. Itu berasal dari perilaku vital, dari pengalaman hidup, dari struktur totalitas psikis kita. Peningkatan kehidupan menuju kesadaran dalam pengetahuan tentang realitas, dalam penilaian kehidupan dan dalam realitas kehendak adalah pekerjaan yang lambat dan sulit yang telah dilakukan umat manusia dalam pengembangan konsepsi kehidupan. (W. Dilthey, 1992 [1911]: 120)" . Dalam karya ini, kami berusaha menguraikan sebuah visi kosmik berdasarkan realitas yang ditawarkan sains saat ini. Kami tidak mengusulkan, kapan pun, untuk melakukan sains atau berteori tentang filsafat. Namun, kami akan selalu berusaha untuk didukung oleh mereka atau, setidaknya, dilindungi oleh mereka dari distorsi kognitif yang biasanya kita bawa. (shrink)

Cosmovisione è un termine che dovrebbe significare un insieme di fondamenti da cui emerge una comprensione sistemica dell'Universo, delle sue componenti come la vita, il mondo in cui viviamo, la natura, il fenomeno umano e le sue relazioni. Si tratta, quindi, di un campo della filosofia analitica alimentato dalle scienze, il cui obiettivo è questa conoscenza aggregata ed epistemologicamente sostenibile su tutto ciò che siamo e conteniamo, che ci circonda e che in qualche modo si relaziona con noi. È qualcosa (...) di antico quanto il pensiero umano e, oltre a utilizzare elementi di cosmologia scientifica, racchiude tutto ciò che nella filosofia e nella scienza si riferisce all'universo e alla vita. Una cosmovisione non è un insieme d’idee, ipotesi e presupposti, ma un sistema basato su osservazione, analisi, prove e dimostrazione. Nessuna cosmovisione intende definire, stabilire, proporre, ma solo comprendere, analizzare e interpretare. Ognuno di noi costruisce e porta avanti la propria cosmovisione per tutta la vita, senza stabilire forme, come sfondo per il proprio pensiero e comportamento. Linguisticamente il termine “cosmovisione” deriverebbe dal tedesco, equivalente al concetto di“Weltanschauung”, utilizzato da diversi filosofi. Tuttavia, questa relazione linguistica non è applicabile perché contraddice ciò che proponiamo come cosmovisione. Questa parola tedesca rimanda a una visione prelogica o proto-sperimentale della realtà, con un contesto intuitivo e lontana da una conoscenza critica che non esisteva ancora al momento della sua formulazione. Senza dubbio, le cosmovisioni, nel senso in cui le intendiamo, ospitano e utilizzano questi elementi proto-sperimentali o prelogici che includono la storia, l’inconscio collettivo e tutti gli archetipi che portiamo con noi. Tuttavia, nel concetto che qui applichiamo, la cosmovisione va ben oltre questo contenuto, dapprima sottoponendolo costantemente al pensiero critico attuale e, infine, facendo dell'esperienza analitica (e non del pensiero o dell'intuizione stessa) il suo universo reale. In questo lavoro, cerchiamo di delineare una cosmovisione basata sulle realtà che la scienza offre oggi. Non proponiamo, in nessun momento, di fare scienza; o teorizzare la filosofia, ma cercheremo sempre di essere supportati da loro o, almeno, protetti da loro dalle distorsioni cognitive che abitualmente ci portiamo dietro. (shrink)

ليس بالتفكير نخلق العوالم، بل بفهم العالم نتعلم التفكير. "الرؤية الكونية" هو مصطلح يجب أن يعني مجموعة من الأسس التي تنبثق منها فهم منهجي للكون، ومكوناته كالحياة، والعالم الذي نعيش فيه، والطبيعة، والظواهر البشرية، وعلاقاتها. إنه، بالتالي، مجال من الفلسفة التحليلية يغذيه العلوم، وهدفه هو هذا المعرفة المجمعة والمستدامة معرفيًا عن كل ما نحن عليه ونحتويه، وما يحيط بنا، وما يرتبط بنا بأي شكل من الأشكال. إنه شيء قديم قدم الفكر البشري، وبالإضافة إلى استخدام عناصر من علم الكونيات العلمي، فإنه (...) يشمل كل شيء في الفلسفة والعلوم الذي يشير إلى الكون والحياة. الرؤية الكونية ليست مجموعة من الأفكار والفرضيات والافتراضات بل هي نظام قائم على الملاحظة والتحليل والدليل والتوضيح. لا تهدف أي رؤية كونية إلى التعريف أو التأسيس أو الاقتراح بل فقط إلى الفهم والتحليل والتفسير. كل منا يبني وينقل رؤيته الكونية طوال حياته، دون إنشاء أشكال، كخلفية لتفكيرنا وسلوكنا. لغويًا، قد يشتق مصطلح "الرؤية الكونية" من الألمانية، ويعادل مفهوم "Weltanschauung"، كما استخدمه عدة فلاسفة. ومع ذلك، فإن هذه العلاقة اللغوية غير قابلة للتطبيق لأنها تتعارض مع ما نقترحه كرؤية كونية. تشير هذه الكلمة الألمانية إلى رؤية واقعية قبل منطقية أو أولية، ذات سياق حدسي وبعيدة عن المعرفة النقدية التي لم تكن موجودة بعد في وقت صياغتها. بلا شك، تحتوي الرؤى الكونية، بالمعنى الذي نفهمها، وتستخدم هذه العناصر الأولية أو قبل المنطقية التي تشمل التاريخ واللاوعي الجماعي وكل النماذج التي نحملها. ومع ذلك، في المفهوم الذي نطبقه هنا، تتجاوز الرؤية الكونية هذا المحتوى بكثير، أولاً من خلال إخضاعه باستمرار للتفكير النقدي الحالي، وأخيرًا من خلال جعل التجربة التحليلية (وليس التفكير نفسه أو الحدس) كونها الفعلي. يعرض أنطونيو لوبيس اتساع هذا المحتوى: "الرؤى الكونية ليست نتاج الفكر. لا تنبع من الرغبة البسيطة في المعرفة. إن استيعاب الواقع هو لحظة مهمة في تكوينها، ولكن، مع ذلك، هي واحدة فقط. إنها تأتي من السلوك الحيوي، ومن تجربة تقييم الحياة، ومن هيكل كليتنا النفسية. إن رفع الحياة إلى الوعي في معرفة الواقع، وفي التقييم، وفي الواقع الإرادي هو العمل البطيء والشاق الذي قامت به الإنسانية في تطوير مفاهيم الحياة. (ديلتاي، 1992 [1911]: 120)"(1) في هذا العمل، نسعى إلى تحديد رؤية كونية تستند إلى الحقائق التي تقدمها العلوم اليوم. لا نقترح، في أي وقت، أن نقوم بالعلم؛ أو نظري الفلسفة، لكننا سنسعى دائمًا لأن ندعم بها أو، على الأقل، نحتمي بها من التشوهات المعرفية التي نحملها عادة. (shrink)

Космовізі — це термін, який має означати набір основ, з яких виникає системне розуміння Всесвіту, його складових як життя, світу, в якому ми живемо, природи, людського феномену та їхніх взаємозв’язків. Таким чином, це галузь аналітичної філософії, що живиться науками, метою якої є це сукупне та епістемологічно стійке знання про все, що ми є і що містить у собі, що оточує нас і що будь-яким чином до нас відноситься. Це щось таке ж давнє, як людська думка, і, окрім використання елементів наукової (...) космології, воно охоплює все у філософії та науці, що стосується Всесвіту та життя. Космогляд — це не набір ідей, гіпотез і припущень, а система, заснована на спостереженнях, аналізі, доказах і демонстраціях. Жодне космобачення не має на меті визначати, встановлювати чи пропонувати, а лише розуміти, аналізувати та інтерпретувати. Кожен з нас будує і транспортує своє космогляд протягом життя, не встановлюючи форми, як фон для нашого мислення і поведінки . Лінгвістично термін «космовізія» походить від німецької мови, що еквівалентно поняттю « Weltanschauung», яке використовували кілька філософів. Однак цей лінгвістичний зв’язок незастосовний, оскільки він суперечить тому, що ми пропонуємо як космовізію. Це німецьке слово відноситься до дологічного або протоекспериментального бачення реальності з інтуїтивним контекстом і далеко не критичним знанням, яке ще не існувало на момент його формулювання. Безсумнівно, космовізії, у тому сенсі, як ми їх розуміємо, містять і використовують ці протоекспериментальні або до-логічні елементи, які включають історію, колективне несвідоме та всі архетипи, які ми носимо. Однак у концепції, яку ми тут застосовуємо, космовізія виходить далеко за межі цього змісту, по-перше, постійно підпорядковуючи його теперішньому критичному мисленню і, нарешті, роблячи аналітичний досвід (а не саму думку чи інтуїцію) своїм справжнім всесвітом. У цій роботі ми прагнемо окреслити космогляд, заснований на реаліях, які пропонує сьогодні наука. Ми ніколи не пропонуємо займатися наукою; або теоретизувати філософію, але ми завжди будемо прагнути отримати їхню підтримку або, принаймні, захистити їх від когнітивних викривлень, які ми зазвичай несемо. (shrink)