In _The Fragility of Things_, eminent theorist William E. Connolly focuses on several self-organizing ecologies that help to constitute our world. These interacting geological, biological, and climate systems, some of which harbor creative capacities, are depreciated by that brand of neoliberalism that confines self-organization to economic markets and equates the latter with impersonal rationality. Neoliberal practice thus fails to address the fragilities it exacerbates. Engaging a diverse range of thinkers, from Friedrich Hayek, Michel Foucault, Hesiod, and Immanuel (...) Kant to Voltaire, Terrence Deacon, Friedrich Nietzsche, and Alfred North Whitehead, Connolly brings the sense of fragility alive as he rethinks the idea of freedom. Urging the Left not to abandon the state but to reclaim it, he also explores scales of politics below and beyond the state. The contemporary response to fragility requires a militant pluralist assemblage composed of those sharing affinities of spirituality across differences of creed, class, gender, sexual orientation, and ethnicity. (shrink)

Biochemical networks are often called upon to illustrate emergent properties of living systems. In this contribution, I question such emergentist claims by means of theoretical work on genetic regulatory models and random Boolean networks. If the existence of a critical connectivity Kc of such networks has often been coined “emergent” or “irreducible”, I propose on the contrary that the existence of a critical connectivity Kc is indeed mathematically explainable in network theory. This conclusion also applies to many other types (...) of formal networks and weakens the emergentist claim attached to bio-molecular networks, and by extension to living systems. (shrink)

A simple molecular system is described consisting of the reciprocal linkage between an autocatalytic cycle and a self-assembling encapsulation process where the molecular constituents for the capsule are products of the autocatalysis. In a molecular environment sufficiently rich in the substrates, capsule growth will also occur with high predictability. Growth to closure will be most probable in the vicinity of the most prolific autocatalysis and will thus tend to spontaneously enclose supportive catalysts within the capsule interior. If subsequently disrupted (...) in the presence of new substrates, the released components will initiate production of additional catalytic and capsule components that will spontaneously re-assemble into one or more autocell replicas, thereby reconstituting and sometimes reproducing the original. In a diverse molecular environment, cycles of disruption and enclosure will cause auto-cells to incidentally encapsulate other molecules as well as reactive substrates. To the extent that any captured molecule can be incorporated into the autocatalytic process by virtue of structural degeneracy of the catalytic binding sites, the altered autocell will incorporate the new type of component into subsequent replications. Such altered autocells will be progenitors of “lineages” with variant characteristics that will differentially propagate with respect to the availability of commonly required substrates. Autocells are susceptible to a limited form of evolution, capable of leading to more efficient, more environmentally fitted, and more complex forms. This provides a simple demonstration of the plausibility of open-ended reproduction and evolvability without self-replicating template molecules or maintenance of persistent nonequilibrium chemistry. This model identifies an intermediate domain between prebiotic and biotic systems and bridges the gap from nonequilibrium thermodynamics to life. (shrink)

In Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena, Jun Tani sets out to answer an essential and tantalizing question: How do our minds work? By providing an overview of his "synthetic neurorobotics" project, Tani reveals how symbols and concepts that represent the world can emerge in a neurodynamic structure--iterative interactions between the top-down subjective view, which proactively acts on the world, and the bottom-up recognition of the resultant perceptual reality. He argues that nontrivial problems of (...) consciousness and free will could be addressed through structural understanding of such iterative, conflicting interactions between the top-down and the bottom-up pathways. A wide range of readers will enjoy this wonderful journey of the mind and will follow the author on interdisciplinary discussions that span neuroscience, dynamical systems theories, robotics, and phenomenology. The book also includes many figures, as well as a link to videos of Tani's exciting robotic experiments. (shrink)

It is often thought that there is one key design principle or at best a small set of design principles, underlying the success of biological organisms. Candidates include neural nets, ‘swarm intelligence’, evolutionary computation, dynamical systems, particular types of architecture or use of a powerful uniform learning mechanism, e.g. reinforcement learning. All of those support types of self-organising, self-modifying behaviours. But we are nowhere near understanding the full variety of powerful information-processing principles ‘discovered’ by evolution. By (...) attending closely to the diver- sity of biological phenomena we may gain key insights into (a) how evolution happens, (b) what sorts of mechanisms, forms of representation, types of learning and development and types of architectures have evolved, (c) how to explain ill-understood aspects of human and animal intelligence, and (d) new useful mechanisms for artificial systems. (shrink)

The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation time, highly meaningful changes across images in medical time series and in time series of satellite images. Here, the functional properties of the quantization error in SOM are explored further to show that the metric is capable of reliably discriminating between the finest differences in local contrast intensities and contrast signs. While this capability of the QE (...) is akin to functional characteristics of a specific class of retinal ganglion cells (the so-called Y-cells) in the visual systems of the primate and the cat, the sensitivity of the QE surpasses the capacity limits of human visual detection. Here, the quantization error in the SOM is found to reliably signal changes in contrast or colour when contrast information is removed from or added to the image, but not when the amount and relative weight of contrast information is constant and only the local spatial position of contrast elements in the pattern changes. While the RGB Mean reflects coarser changes in colour or contrast well enough, the SOM-QE is shown to outperform the RGB Mean in the detection of single-pixel changes in images with up to five million pixels. This could have important implications in the context of unsupervised image learning and computational building block approaches to large sets of image data (big data). (shrink)

Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human (...) observers. To this end, we exploit a neural network metric in the output of a biologically inspired Self- Organizing Map Quantization Error (SOM-QE). Shape pairs with perfect geometry mirror symmetry but a non-homogenous appearance, caused by local variations in hue, saturation, or lightness within and/or across the shapes in a given pair produce, as shown here, a longer choice response time (RT) for “yes” responses relative to symmetry. These data are consistently mirrored by the variations in the SOM-QE from unsupervised neural network analysis of the same stimulus images. The neural network metric is thus capable of detecting and scaling human symmetry uncertainty in response to patterns. Such capacity is tightly linked to the metric’s proven selectivity to local contrast and color variations in large and highly complex image data. (shrink)

There is presently considerable interest in the phenomenon of "self-organisation" in dynamical systems. The rough idea of self-organisation is that a structure appears "by itself in a dynamical system, with reasonably high probability, in a reasonably short time, with no help from a special initial state, or interaction with an external system. What is often missed, however, is that the standard evolutionary account of the origin of multi-cellular life fits this definition, so that higher living organisms are (...) also products of self-organisation. Very few kinds of object can selforganise, and the question of what such objects are like is a suitable mathematical problem. Extending the familiar notion of algorithmic complexity into the context of dynamical systems, we obtain a notion of "dynamical complexity". A simple theorem then shows that only objects of very low dynamical complexity can self organise, so that living organisms must be of low dynamical complexity. On the other hand, symmetry considerations suggest that living organisms are highly complex, relative to the dynamical laws, due to their large size and high degree of irregularity. In particular, it is shown that since dynamical laws operate locally, and do not vary across space and time, they cannot produce any specific large and irregular structure with high probability in a short time. These arguments suggest that standard evolutionary theories of the origin of higher organisms are incomplete. (shrink)

This chapter describes the application of reduction concepts in emergence and self organization of complex dynamical system. Condition-dependent laws compress and dynamical equation sets provide implicit compressed representations even when most of that information is not explicitly available without decompression. And, paradoxically, there is still the determined march of fundamental analytical dynamics expanding its compression reach toward a Theory of Everything—even while the more rapidly expanding domain of complex systems dynamics confronts its assumptions and its monolithicity. Nor does (...) science fall apart into a disunified aggregate of particular cases since, with fundamental dynamics as a backbone, complex matching up of models across theoretical and empirical domains then articulates its model-structured skeleton. Discussion provides the delicately entwined dance of emergence and reduction providing constraints on compression that also permit its expansion. However, while the vision is not dead, it is currently substantially more complexly structured through model similarities and differences than that initially envisaged and individuals are left with deep questions about compression unresolved. (shrink)

The objective of this work is to demonstrate how cooperative sharers and uncooperative free riders can be placed in different groups of an electronic society in a decentralised manner. We have simulated an agent-based open and decentralised P2P system which self-organises itself into different groups to avoid cooperative sharers being exploited by uncooperative free riders. This approach encourages sharers to move to better groups and restricts free riders into those groups of sharers without needing centralised control. Our approach is (...) suitable for current P2P systems that are open and distributed. Gossip is used as a social mechanism for information sharing which facilitates the formation of groups. Using multi-agent based simulations we demonstrate how the adaptive behaviour of agents lead to self-organisation. We have tested with varying the gossip level and checked its impact in the system’s behaviour. We have also investigated the impact of false gossip in this system where gossip is the medium for information sharing which leads to self-organisation. (shrink)

In recent decades, several theories have claimed to explain the teleological causality of organisms as a function of self-organising and self-producing processes. The most widely cited theories of this sort are variations of autopoiesis, originally introduced by Maturana and Varela. More recent modifications of autopoietic theory have focused on system organisation, closure of constraints and autonomy to account for organism teleology. This article argues that the treatment of teleology in autopoiesis and other organisation theories is inconclusive for (...) three reasons: First, non-living self-organising processes like autocatalysis meet the defining features of autopoiesis without being teleological; second, organisational approaches, whether defined in terms of the closure of constraints, self-determination or autonomy, are unable to specify teleological normativity, that is, the individuation of an ultimate beneficiary; third, all self-organised systems produce local order by maximising the throughput of energy and/or material (obeying the maximum entropy production (MEP) principle) and thereby are specifically organised to undermine their own critical boundary conditions. Despite these inadequacies, an alternative approach called teleodynamics accounts for teleology. This theory shows how multiple self-organising processes can be collectively linked so that they counter each other’s MEP principle tendencies to become codependent. Teleodynamics embraces – not ignoring – the difficulties of self-organisation, but reinstates teleology as a radical phase transition distinguishing systems embodying an orientation towards their own beneficial ends from those that lack normative character. (shrink)

. Philip Hefner's focus on contingency and field as the guiding concepts in my thinking and his characterization of my theological enterprise as a Lakatosian research program are appropriate and helpful.I welcome Jeffrey Wicken's holistic approach to the emergence of life. Theology can appropriate the language of self‐organizing systems exploiting the thermodynamic flow of energy degradation for interpreting organic life as a creation of the Spirit of God.However, I cannot sympathize with Lindon Eaves's equation of “hard science” with (...) a reductionism which raises the double helix to the status of icon; the “meaning” of DNA derives from its place in the total phenomenon of life—not the reverse.Frank Tipler's cosmology raises the prospect of a rapprochement between physics and theology in the area of eschatology. A Christian cosmology, however, would require at least three modifications: contingency in the history of creation; the uniqueness of Jesus' resurrection; and the relation of these to the problem of evil. (shrink)

The last decade and a half has seen an ardent development of self-organised criticality, a new approach to complex systems, which has become important in many domains of natural as well as social science, such as geology, biology, astronomy, and economics, to mention just a few. This has led many to adopt a generalist stance towards SOC, which is now repeatedly claimed to be a universal theory of complex behaviour. The aim of this paper is twofold. First, I (...) provide a brief and non-technical introduction to SOC. Second, I critically discuss the various bold claims that have been made in connection with it. Throughout, I will adopt a rather sober attitude and argue that some people have been too readily carried away by fancy contentions. My overall conclusion will be that none of these bold claims can be maintained. Nevertheless, stripped of exaggerated expectations and daring assertions, many SOC models are interesting vehicles for promising scientific research.Author Keywords: Self-organised criticality; Scaling law; Models; Formal analogy. (shrink)

Studies performed in absence of gravitational constraint show that a living system is unable to choose between two different phenotypes, thus leading cells to segregate into different, alternative stable states. This finding demonstrates that the genotype does not determine by itself the phenotype but requires additional, physical constraints to finalize cell differentiation. Constraints belong to two classes: holonomic (independent of the system's dynamical states, as being established by the space‐time geometry of the field) and non‐holonomic (modified during those biological processes (...) to which they contribute in shaping). This latter kind of “constraints”, in which dynamics works on the constraint to recreate them, have emerged as critical determinants of self‐organizing systems, by manifesting a “closure of constraints.” Overall, the constraints act by harnessing the “randomness” represented by the simultaneous presence of equiprobable events restraining the system within one attractor. These results cast doubt on the mainstream scientific concept and call for a better understanding of causation in cell biology. (shrink)

Business firms play an increasingly influential role in contemporary societies, which has led many scholars to return to the question of the democratisation of corporate governance. However, the possibility of democratic deliberation within firms has received only marginal attention in the current debate. This article fills this gap in the literature by making a normative case for democratic deliberation at the workplace and empirically assessing the deliberative capacity of self-organised teams within business firms. It is based on sixteen in-depth (...) interviews in six German firms which practice various forms of self-organised teamwork. The article argues that self-organised teamwork can create a space for authentic, inclusive, and consequential deliberation by suspending authoritarian control structures within business firms. Finally, the article proposes the consideration of firms not only as necessary parts of a larger deliberative system but also as deliberative systems in themselves. (shrink)

A historical sketch of Autonomous Systems Research (ASR) is presented to show its roots in cybernetics, AI, Robotics, Cognitive Science, and in theoretical biology. These connections are considered in the light of the epistemology of human observers as a special kind of agents modeling other systems as representing and eventually realising autonomy. It is argued that ASR must primarily be understood as an opposition to traditional AI style ‘disembodied’ robotics, and that contemporary ASR provides a partial shift of (...) focus towards the organismic roots of cognition. Finally, it is suggested that a deeper understanding of situated autonomous systems as being a kind of complex self-organizing semiotic agents with emergent qualitative properties can be gained from the broad field of theoretical biology, including recent perspectives from Artificial Life, Evolutionary Systems, the Developmental Systems Approach, and Biosemiotics. Inspired by theoretical biology we suggest to investigate a new notion of autonomy that includes a qualitative aspect of the organism. (shrink)

The autocell proposal for the emergence of life and natural selection through the interaction of two reciprocally coupled self-organizing processes specifically provides a protein-first model for the origin of life that can be explored by computer simulations and experiment. Beyond the specific proposal it can be considered more generally as a thought experiment in which the principles deduced for the autocell could apply to other possible detailed chemical scenarios of catalytic polymers and protometabolism, including living systems emerging within (...) membranelike barriers. The autocell model allows for the analysis of the emergence of not only agency and purpose but also of interpretation and semiosis as true living systems arise. (shrink)

Integrating concepts of maintenance and of origins is essential to explaining biological diversity. The unified theory of evolution attempts to find a common theme linking production rules inherent in biological systems, explaining the origin of biological order as a manifestation of the flow of energy and the flow of information on various spatial and temporal scales, with the recognition that natural selection is an evolutionarily relevant process. Biological systems persist in space and time by transfor ming energy from (...) one state to another in a manner that generates structures which allows the system to continue to persist. Two classes of energetic transformations allow this; heat-generating transformations, resulting in a net loss of energy from the system, and conservative transformations, changing unusable energy into states that can be stored and used subsequently. All conservative transformations in biological systems are coupled with heat-generating transformations; hence, inherent biological production, or genealogical proesses, is positively entropic. There is a self-organizing phenomenology common to genealogical phenomena, which imparts an arrow of time to biological systems. Natural selection, which by itself is time-reversible, contributes to the organization of the self-organized genealogical trajectories. The interplay of genealogical (diversity-promoting) and selective (diversity-limiting) processes produces biological order to which the primary contribution is genealogical history. Dynamic changes occuring on times scales shorter than speciation rates are microevolutionary; those occuring on time scales longer than speciation rates are macroevolutionary. Macroevolutionary processes are neither redicible to, nor autonomous from, microevolutionary processes. (shrink)

This article presents Simondon’s psycho-biological thinking as a type of heterodox naturalism centring on the self-organizing activity of vital forms. Despite his critique of classic notions of form, notably Aristotelian hylomorphism, Simondon revises this concept through a critical expansion and synthesis of information theory and Gestalt psychology. In his lecture series Imagination and Invention (1965–6) in particular, he develops an account of psycho-biological activity as governed by what he calls ‘images’: relatively autonomous informational sub-systems that serve to regulate (...) the relationship between organism and environment and that constitute the condition for creative action or invention. Focusing on his analysis of the individualization of perceptual objects, the article goes on to show that ‘forms’ for Simondon feature as emergent properties of quantum thresholds of ‘information’ within these systems. It also argues that such a conception offers a more promising alternative to both idealist philosophies of perception and materialist interpretations of deconstruction. (shrink)

There is quite a bit of disagreement in cognitive science regarding the role that consciousness and control play in explanations of how people do what they do. The purpose of the present paper is to do the following: (1) examine the theoretical choice points that have lead theorists to conflicting positions, (2) examine the philosophical and empirical problems different theories encounter as they address the issue of conscious agency, and (3) provide an integrative framework (Wild Systems Theory) that addresses (...) these problems and potentially naturalizes conscious agency. It does so by grounding conscious and control in the notion of self-sustaining energy-transformation systems (i.e., living systems), versus computational or self- organizing systems, as is the case in information processing theory and dynamical systems theory, respectively. Given its assertion that content (and consciousness) emerges in self-sustaining systems, Wild Systems Theory may also provide a sound theoretical basis for a science of consciousness in general. (shrink)

Both natural and engineered systems are fundamentally dynamical in nature: their defining properties are causal, and their functional capacities are causally grounded. Among dynamical systems, an interesting and important sub-class are those that are autonomous, anticipative and adaptive (AAA). Living systems, intelligent systems, sophisticated robots and social systems belong to this class, and the use of these terms has recently spread rapidly through the scientific literature. Central to understanding these dynamical systems is their complicated (...) organisation and their consequent capacities for re- and self- organisation. But there is at present no general analysis of these capacities or of the requisite organisation involved. We define what distinguishes AAA systems from other kinds of systems by characterising their central properties in a dynamically interpreted information theory. (shrink)

A fascinating exploration of the very essence of life itself sheds new light on the order and evolution in complex life systems and defines and explains autonomous agents and work within the contexts of thermodynamics and information theory, setting the stage for a dramatic technological revolution. 50,000 first printing.

In this paper, I take up the problem of the self through bringing together the insights, while correcting some of the shortcomings, of Indo–Tibetan Buddhist and enactivist accounts of the self. I begin with an examination of the Buddhist theory of non-self ( anātman ) and the rigorously reductionist interpretation of this doctrine developed by the Abhidharma school of Buddhism. After discussing some of the fundamental problems for Buddhist reductionism, I turn to the enactive approach to philosophy (...) of mind and cognitive science. I argue that human beings, as dynamic systems, are characterized by a high degree of self-organizing autonomy. Therefore, human beings are not reducible to the more basic mental and physical events that constitute them. I critically examine Francisco Varela’s enactivist account of the self as virtual and his use of Buddhist ideas in support of this view. I argue, in contrast, that while the self is emergent and constructed, it is not merely virtual. Finally I sketch a Buddhist-enactivist account of the self. I argue for a non-reductionist view of the self as an active, embodied, embedded, self-organizing process—what the Buddhists call ‘I’-making ( ahaṃkāra ). This emergent process of self-making is grounded in the fundamentally recursive processes that characterize lived experience: autopoiesis at the biological level, temporalization and self-reference at the level of conscious experience, and conceptual and narrative construction at the level of intersubjectivity. In Buddhist terms, I will develop an account of the self as dependently originated and empty, but nevertheless real. (shrink)

Organisms live not as discrete entities on which an independent environment acts, but as members of a reproductive lineage in an ongoing series of interactions between that lineage and a dynamic ecological niche. These interactions continuously shape both systems in a reciprocal manner, resulting in the emergence of reliably co-occurring configurations within and between both systems. The enactive approach to cognition describes this relationship as the structural coupling between an organism and its environment; similarly, Developmental Systems Theory (...) emphasizes the reciprocal nature of structurally coupled systems in its analysis of organisms as developmental processes embedded within a developmental system. Through an enactive-developmental systems framing, this paper identifies the organizational features of cognizing systems in order to motivate a picture of how organism and environment co-determine and co-construct one another. I argue that organisms can be characterized as self-organizing, operationally closed, plastic systems ecologically embedded within a developmental system. In virtue of this organizational makeup, organisms actively engage in the modulation and assessment of their coupling with their environment: cognitive strategies that entail contextualized responses to variations across the web of interactions that comprises the developmental system. (shrink)

Self – organizing is closely connected to the phenomenon of life. The creation of complexity, which is necessary for the creation of life, is connected to the process of storing information in molecules of which the living cell is constituted. All living systems, either unicellular or multicellular organisms, are extremely complex systems compared to all the other species of the non living matter that exist in the Universe. Complexity is the result of effect processes, leading to (...) class='Hi'>systems with great organization, containing large information stocks. This organization of the molecules of a living organism, a result of accumulation of information, is what makes them able to produce useful work. The useful work involves both the fulfillment of basic biological processes, such as metabolism and reproduction, and the further increase in the information content that builds up in living systems. This last process is subject to the great chain of evolution of biological systems, this development is governed by the law of natural selection. The capability of reproduction, mutation and metabolism are necessary conditions for the latter. (shrink)

Context: Using radical constructivism, society can be considered from the perspective of asking the question, “Who conceives of society?” In Luhmann ’s social systems theory, this question itself is considered as a construct of the communication among reflexive agents. Problem: Structuration of expectations by codes operating in interhuman communications positions both communicators and communications in a multi-dimensional space in which their relations can be provided with meaning at the supra-individual level. The codes can be functionally different and symbolically generalized. (...) Method: More than Luhmann, I focus on the hypothetical status of the communication of meaning and the uncertainty involved. Meaning can be communicated because of reflexivity in interhuman communications; meaning cannot be observed. Results: The communication of denotations between semantic domains can generate “horizons of meaning” as reflexive orders that remain structurally coupled to individual minds. This elusive order contains a trade-off between “organization” at interfaces integrating expectations at each moment of time, and the potential of further differentiation among symbolically generalized codes of communication in a “self-organization” over time. Implications: One can model the coding in the communication of meaning as latent variables that evolve as an implication of the interacting intentions and expectations. The structure of expectations can be visualized and animated using semantic maps. The self-organizing horizons of meaning operate in a multidimensional space different from the network topology, and at another pace, since meaning is provided to events from the perspective of hindsight. Constructivist content: This perspective of the radical constructedness of social reality transforms the status of agency and organization in sociological theorizing from a source of change to a resource of communicative competencies and reflexive performativity. (shrink)

We clarify the arguments in Neural organization: Structure, function, and dynamics, acknowledge important contributions cited by our critics, and respond to their criticisms by charting directions for further development of our integrated approach to theoretical and empirical studies of neural organization. We first discuss functional organization in general (behavior versus cognitive functioning, the need to study body and brain together, function in ontogeny and phylogeny) and then focus on schema theory (noting that schema theory is not just a top-down theory (...) and discussing the transition from action-oriented perception to cognition). We then turn to dynamical organization, with a focus first on neural modeling and dynamics (clarifying the multiple functions of neurons and brain regions, and looking further at various forms of dynamics) and second on learning, development, and self-organization (looking at monoaminergic systems, reinforcement, self-organization, postnatal development, and disease). We close with a brief philosophical discussion of postmodernism and reductionism. (shrink)

Open peer commentary on the article “Cybernetic Foundations for Psychology” by Bernard Scott. Upshot: Based on my personal and professional experiences as a university teacher of social work, systemic psychotherapy, and education, I suggest the concepts of third-order cybernetics and synergetics as a support to creating a more unified and integrated framework of psychology to better understand and deal with complex, self-organizing systems.

To understand how complex dynamic systems, living or non-living, linguistic or non-linguistic, come to be organized as systems, to understand how their inherent dynamic nature gives rise to organisations and forms that have found a balance between potentiality for change and evolution on the one hand, and requisite stability in a given environment on the other, is the main ambition of the study of evolutionary systems. The aim of the present volume is to elucidate the scientific and (...) philosophical backgrounds that play a role in one of the major debates taking place in that field, namely that on the relation between selection and self-organization. The book represents a genuine interdisciplinary forum in which the major representatives of evolutionary systems take part. Audience: This volume will be interest to biologists, philosophers of science, systems scientists, mathematicians, physicists, sociologists of science. It is highly recommended to those interested in an interdisciplinary and complex approach to evolution, as well as to those interested in developing a genuinely historical viewpoint in the sciences. (shrink)

The social and cognitive science replication crisis is partly due to the limitations of commonly used statistical tools. Inferential statistics require that unsystematic measurement variation is independent of system history, and weak relative to systematic or causal sources of variation. However, contemporary systems research underscores the dynamic, adaptive nature of social, cognitive, and behavioral systems. Variation in human activity includes the influences of intrinsic dynamics intertwined with changing contextual circumstances. Conventional inferential techniques presume milder forms of variability, such (...) as unsystematic measurement error, as in a Gaussian distribution. Inferential statistics indicate an elementary Newtonian cause-effect metaphor for change that is inconsistent with known principles of change in complex systems. Pattern formation in self-organizing systems and quantum probability are used to illustrate theoretical metaphors that instantiate alternative notions of change in complex systems. Inferential statistics and related techniques are crucial scientific resources. However, in the social and behavioral sciences, they must be practiced in conjunction with an appropriate general systems framework that accommodates intrinsic fluctuations and contextual adaptation. (shrink)

本书对自组织理论进行综合性研究,并探讨了关于自然界自组织演化的自然图景和自然观,关于自然科学自组织演化的科学图景和科学观。.

kn. 1. Vechnye voprosy v svete nauki, filosofii religii.

This fascinating popular science journey explores key concepts in information theory in terms of Conway's "Game of Life" program. The author explains the application of natural law to a random system and demonstrates the necessity of limits. Other topics include the limits of knowledge, paradox of complexity, Maxwell's demon, Big Bang theory, and much more. 1985 edition.

What are the evolutionary scenarios of academic capitalism, able to deliver an ever more strategic knowledge, with a high added value within the global society? Under the current system of knowledge economy, characterized, at the beginning of this third millennium, by strong hyper-complexity, the challenge for the society evolution toward a sustainable world, full of varieties and opportunities, is the development of a form of capitalism able to guide and facilitate the reshaping of society through self-organizing systems (Lazslo (...) 2011) the academic capitalism as a form of functional capitalism, the difference that makes the knowledge considered at a systemic level. (shrink)

Three examples of theoretical analysis of evolutionary processes are presented. It is shown that the mechanisms involved have little to do with cognitive processes except for superficial and formal analogies. That is the case not only for classical models of adaptive evolution , but also for more recent ones making use of neural network computation and self-organization theories.Recent works on functional self-organization exhibiting some features of intentionality are discussed in this context. It is argued that Dennett's intentional stance (...) cannot be used as a theoretical framework common to human prepositional attitudes, animal behaviour and adaptive evolution. Indeed, a physical theory of intentionality could account, at least in principle, for the production of intentional self-organizing systems. However, except for a renewed theological “argument from design”, there is no justification to attribute intentionality to evolutionary processes and “Mother Nature”, for the reason that they have produced organisms endowed with intentional psycholinguistic capabilities. (shrink)

The enactivist account of consciousness posits that motivated activation of sensorimotor action imagery anticipates possible action affordances of environmental situations, resulting in representation of the environment with a conscious “feel” associated with the valences motivating the anticipations. This approach makes the mind–body problem and the problem of mental causation easier to resolve, and offers promise for understanding how consciousness results from natural processes. Given a process-oriented understanding of the way many systems in non-conscious nature are “proto-motivated” toward realizing unactualized (...) possibilities, and can use symbolic objects to “proto-represent” unactualized possibilities, it becomes more clear how self-organizing systems can subserve subjective consciousness. If a system executes, in a unified way, both a proto-desire and a proto-representation of the same unactualized possibility — in order to provide a kind of causal power for the unactualized possibility — then the result is the familiar experience of phenomenal consciousness. (shrink)

We consider four mechanisms by which apparent discontinuities in the distribution of antisociality could arise: (1) executive genes or hormonal systems, (2) multiplicative interactions of predisposing factors, (3) environmental tracking into a limited number of social roles, and (4) cross-generational gene—environment interactions. A more explicit consideration of complex self-organizing dynamic systems may help us understand the maintenance of antisocial subpopulations.

We trace the history of the Modern Evolutionary Synthesis, and of genetic Darwinism generally, with a view to showing why, even in its current versions, it can no longer serve as a general framework for evolutionary theory. The main reason is empirical. Genetical Darwinism cannot accommodate the role of development (and of genes in development) in many evolutionary processes. We go on to discuss two conceptual issues: whether natural selection can be the “creative factor” in a new, more general framework (...) for evolutionary theorizing; and whether in such a framework organisms must be conceived as self-organizing systems embedded in self-organizing ecological systems. (shrink)

Fractal time fluctuations of the spectral “1/f” form are universal in natural self-organizing systems. Neurobiology is uniquely infused with fractal fluctuations in the form of statistically self-similar clusters or bursts on all levels of description from molecular events such as protein chain fluctuations, ion channel currents and synaptic processes to the behaviors of neural ensembles or the collective behavior of Internet users. It is the thesis of this essay that the brain self-organizes via a vertical collation (...) of these spontaneous events in order to perceive the world and generate adaptive behaviors. REM sleep, which coalesces from self-similar clusters of burst-within-burst behavior during ontogeny, is essential to cognitive-emotional function, and has recurrent fractal organization. Empirical fMRI observations further support the association of fractal fluctuations in the temporal lobes, brainstem and cerebellum during the expression of emotional memory, spontaneous fluctuations of thought and meditative practice. Cognitive-emotional integration arises as amygdaloid-brainstem-cerebellar systems harmonize the vertical “1/f” symphony of coupled isochronous cortical oscillations in the pursuit of mindfulness. (shrink)

In this essay, I will try to elaborate the fundamental postulates of transdifferential ontology, developed through the inscription of some basic concepts of poststructuralist philosophy within the realm of general system theory. In this manner, a system/being will be conceptualized as set of elements which is organized as a functional whole, whose goal is not to establish a homeostasis but to menage and organize disruptive forces of lack/surplus, that represents non-mediated kernel of any system. Therefore, any system is fundamentally grounded (...) on imbalance and radical incompleteness as inherent conditions of its possibility. Among different kind of systems, the complex self - organizing systems based on feedback loops are governed by the principle of syntropy and its transdifferential organization of reality. In order to explicate the syntropic movement of systems, the concept of signifier is expanded beyond the boundaries of language, and the process of writing, as a permanent invention of in-vent, is interpreted in the manner of never ending sublation of the system and subversion of the subject. The interconnection between the general system theory and poststructuralist philosophy will provide us with a conceptual apparatus which overcomes both linguistic and entropic limitations of above mentioned domains, in order to conceive, interpret, predict and govern processes of becoming on different levels of organization of systems. (shrink)