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)

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)

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 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)

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)

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)

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)

. 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)

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)

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)

Technical artifacts are embedded in social systems and, to some extent, even shape them. This chapter inquires, then, whether designing artifacts may be regarded as a contribution to social design. I explicate a concept of general design that conceives design as the type fixation of a complex entity. This allows for an analysis of different contributions to the design of social systems without favoring the intended effects of artifacts on a system over those effects that actually show up. (...) First, the clear-cut case of socio-technical systems is considered. Here, functions of artifacts can be planned fairly precise. In societies, in contrast, the actual functions of an artifact can hardly be predicted, which is due to strong self-organizing processes. Nevertheless artifact design can be shown to contribute to the design of the system also in this case. (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)

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.

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.

Markets, companies and various forms of business organizations may all (we have argued) be usefully viewed through the lens of CAS -- the theory of complex adaptive systems. In this chapter, I address one fundamental issue that confronts both the theoretician and the business manager: the nature and opportunities for control and intervention in complex adaptive regimes. The problem is obvious enough. A complex adaptive system, as we have defined it, is soft assembled and largely self-organizing. This means (...) that it is the emergent product of multiple, and often very heterogeneous, interacting factors and forces, and that the crucial interactions are not controlled and orchestrated by an overseeing executive, detailed program, or any other source of strict hierarchical control. There is thus a pressing problem -- are such systems strictly out of control and beyond the reach of useful governance? I shall argue that they are not. Such systems, though initially unfamiliar, can nonetheless be led, influenced and enabled in a variety of ways. (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)

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)

Replying to the variegated responses by theologian Langdon Gilkey, philosophers Richard McClelland and Robert Deltete, and biologist Rudolf B. Brun, I emphasize three elements of my theological use of autopoietic theory: (1) Autopoietic systems are less than self‐constitutive, since they do not create themselves from scratch, but more than self‐organizing, since they are capable of producing new elements inside the local system. Correspondingly, the theological importance of autopoietic theory is not found within the doctrine of a creation (...) out of nothing but within the doctrine of non‐uniform continuous creation. (2) Locating the concept of autopoiesis within third‐generation systems theory, I underline the pluriform character of type‐different systems; the possibility of giving a full causal account from the purview of any privileged single systems (including physics) is thus denied. (3) I distinguish between two complementary roles of theology in the dialogue between science and religion: whereas theology1 offers a participatory second‐order description of the internal meaning of particular traditions of faith, theology2 provides a third‐order inquiry into the external coherence between religious and nonreligious worlds of meaning. Theology2, however, always presupposes the internal descriptions of theology1. On this basis, my use of autopoietic theory is related to the theologies of creation and providence of Paul Tillich and Langdon Gilkey; likewise, I discuss various theological strategies for relating a theology of creation to standard interpretations of evolution. (shrink)

This paper deals with the question of agency and intentionality in the context of the free-energy principle. The free-energy principle is a system-theoretic framework for understanding living self-organizing systems and how they relate to their environments. I will first sketch the main philosophical positions in the literature: a rationalist Helmholtzian interpretation (Hohwy 2013; Clark 2013), a cybernetic interpretation (Seth 2015b) and the enactive affordance-based interpretation (Bruineberg and Rietveld 2014; Bruineberg et al. 2016) and will then show how agency (...) and intentionality are construed differently on these different philosophical interpretations. I will then argue that a purely Helmholtzian is limited, in that it can account only account for agency in the context of perceptual inference. The cybernetic account cannot give a full account of action, since purposiveness is accounted for only to the extent that it pertains to the control of homeostatic essential variables. I will then argue that the enactive affordance-based account attempts to provide broader account of purposive action without presupposing goals and intentions coming from outside of the theory. In the second part of the paper, I will discuss how each of these three interpretations conceives of the sense agency and intentionality in different ways. (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)

Introduction: Searching for the covert agent of consciousness -- The devil's pact (or, why the hard problem is now so hard) -- Action at the macro level : an agent-based theory of intentionality -- Action imagery and representation of the external world -- Do we need an emergency metaphysician? : action versus reaction at the micro level -- Herding neurons : the causal structure of self-organizing systems -- The paradoxes of phenomenal consciousness -- The self-organizing imagination : (...) addressing the mind-body problem -- Introspection and private access -- Action imagery and the role of efference -- Connecting physiology with phenomenology. (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。.

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 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.

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)

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

Can a human society be constrained in such a way that self-organization will thereafter tend to produce outcomes that advance the goals of the society? Such a society would be self-organizing in the sense that individuals who pursue only their own interests would none-the-less act in the interests of the society as a whole, irrespective of any intention to do so. The paper sketches an agent-based model that identifies the conditions that must be met if such a (...) class='Hi'>self-organizing society is to emerge. The model draws heavily on an understanding of how self-organizing societies have emerged repeatedly during the evolution of life on Earth. The model demonstrates that the key enabling requirement for a self-organizing society is ‘consequence-capture’. Broadly this means that all agents in the society must capture sufficient of the beneficial consequences of their actions for the goals of the society. ‘Consequence-capture’ can be organized in a society by appropriate management that suppresses free riders and supports pro-social actions. In human societies these constraints include institutions such as systems of governance and social norms. If a self-organizing society is to emerge, consequence-capture must apply to all agents in the society, including those involved in the establishment and adaptation of institutions. If this is achieved, the result will be a fully self-organizing society in which the interests of all agents are aligned with the interests of the society as a whole. (shrink)

Two types of sustainability definitions are contrasted. ‘Social scientific’ definitions, such as that of the Brundtland Commission, treat sustainability as a relationship between present and future welfare of persons. These definitions differ from ‘ecological’ ones which explicitly require protection of ecological processes as a condition on sustainability. ‘Scientific contextualism’ does not follow mainstream economists in their efforts to express all effects as interchangeable units of individual welfare; it rather strives to express sensitivity to different types and scales of impacts that (...) present activities can exert on the future. We can therefore express the moral obligation to act sustainably as an obligation to protect the natural processes that form the context of human life and culture, emphasizing those large biotic and abiotic systems essential to human life, health, and flourishing culture. Ecosystems, which are understood as dynamic, self-organizing systems humans have evolved within, must remain ‘healthy’ if humans are to thrive. The ecological approach to sustainability therefore sets the protection of dynamic, creative systems in nature as its primary goal. (shrink)

In this paper a framework to study consciousness in animals is proposed which is based on a hierarchical organizational feedback model of the central nervous system, the separation of a given mental state into two components, i.e. an invariant part, and a variant part, which are separately related to the organization of the central nervous system, i.e. 'a neural network' and 'momentary active connections within the neural network determined by in- and output of this neural network' respectively, and phylogeny based (...) on the invariant part or the presence of a neural network. Consciousness is defined as a property of neural networks of self-organizing systems dedicated to dealing with rapidly changing environments affording flexibility of behavioural patterning. (shrink)

Microtubules, major elements of the cell skeleton are, most of the time, well organized in vivo, but they can also show self-organizing behaviors in time and/or space in purified solutions in vitro. Theoretical studies and models based on the concepts of collective dynamics in complex systems, reaction–diffusion processes and emergent phenomena were proposed to explain some of these behaviors. In the particular case of microtubule spatial self-organization, it has been advanced that microtubules could behave like ants, (...) class='Hi'>self-organizing by ‘talking to each other’ by way of hypothetic concentrated chemical trails of tubulin that are expected to be released by their disassembling ends. Deterministic models based on this idea yielded indeed like-looking spatio-temporal self-organizing behaviors. Nevertheless the question remains of whether microscopic tubulin trails produced by individual or bundles of several microtubules are intense enough to allow microtubule self-organization at a macroscopic level. In the present work, by simulating the diffusion of tubulin in microtubule solutions at the microscopic scale, we measure the shape and intensity of tubulin trails and discuss about the assumption of microtubule self-organization due to the production of chemical trails by disassembling microtubules. We show that the tubulin trails produced by individual microtubules or small microtubule arrays are very weak and not elongated even at very high reactive rates. Although the variations of concentration due to such trails are not significant compared to natural fluctuations of the concentration of tubuline in the chemical environment, the study shows that heterogeneities of biochemical composition can form due to microtubule disassembly. They could become significant when produced by numerous microtubule ends located in the same place. Their possible formation could play a role in certain conditions of reaction. In particular, it gives a mesoscopic basis to explain the collective dynamics observed in excitable microtubule solutions showing the propagation of concentration waves of microtubules at the millimeter scale, although we doubt that individual microtubules or bundles can behave like molecular ants. (shrink)

This article reinterprets the Kelsen-Schmitt debate in the context of social systems theory and rethinks its major concepts as part of legal and political self-reference and systemic differentiation. In Kelsen?s case, it is the exclusion of sovereignty from juridical logic that opens a way to the self-reference of positive law. Similarly, Schmitt constructed his concept of the political as a self-referential system of political operations protected from the social environment by the medium of power. The author (...) argues that the process of legal and political globalisation rules out the possibility of formulating substantive theories of the state associating this particular social organisation with metaphysical values and a self-validating collective identity. Kelsen and Schmitt continue to inspire current theories of non-metaphysical globalised law and politics. However, the constitutional state and sovereignty need to be reformulated as a meeting point of functionally differentiated and globalised legal and political communications and not as their ultimate end. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:An Invitation to Play:A Response to Patrick Schmidt's "What We Hear is Meaning Too:Deconstruction, Dialogue, and Music"Patrice Madura Ward-SteinmanThe aims of dialogue-as-deconstruction, as described by Patrick Schmidt, are concepts I have pondered as a result of a five-week sabbatical visit to Melbourne, Australia. My research focus there was improvisation, and early in my visit I attended two concerts at the premier jazz club, Bennett's Lane. There I heard twelve (...) improvisers in a variety of ensembles, all in celebration of the seventieth birthday of their mentor, Tony Gould, who also performed. Gould is cited by John Whiteoak and Aline Scott-Maxwell as an "outstanding player who has never ceased to develop as an improviser" and who "as a pianist, records prolifically across a wide musical spectrum."1While the music was jazz, it was freer and fresher than usual. There was striking interaction among the musicians, including facial expressions that reflected genuine ecstasy, and body movement that was naturally "in sync" with the music. I began to ask many questions, including: Is Australia's jazz different from that [End Page 82] in the U.S.? Is Tony Gould's influence as a teacher the reason for the difference? What accounts for the sensation of "freshness" in this music? And why is this musical experience so gripping, both aurally and visually? Serendipitously, I discovered answers through the opportunity to respond to Schmidt's aims of dialogue-of-deconstruction. I shall illustrate how those aims, namely decentralized power and conflict, multiplicity and meaning, and mis-listening may be met in the improvising music ensemble.Decentralized Power and ConflictThe lifeblood of "free jazz" and "free improvisation" ensembles is de-centralized musical interaction, which may be considered a metaphor for dialogue-as-deconstruction. Case in point: the Tony Gould Quartet was an improvising unit with each musician contributing to the musical whole. The air was electric with each musician poised in both the anticipation of what the other might play and in the moment of creation.A recent trend in studies of organizational behavior is on "self-directed" or "self-managed" groups, as identified by Keith R. Sawyer.2 David Borgo3 explains that the characteristics of these "self-organizing systems" or "SOSs" are threefold: they operate without centralized control, they "exhibit both complex and adaptive dynamics," and they are comprised of autonomous individuals who demonstrate a high degree of connectivity. Both authors assert that an ideal SOS is the free improvising ensemble, where musical ideas are allowed to emerge and adapt, and even musical "mistakes" may be manipulated into the context, thus creating new directions in dialogue.However, SOSs have some inherent problems. For example, they are "slow to emerge.... The more complex they are, the longer it may take them to warm up: hierarchical layers have to settle down... and individual(s) have to acquaint themselves with one another."4 Borgo explained that even advanced improvisers often need to pursue a musical idea for a long while for it to achieve coherence. Philip Alperson adds: "As the number of designing intelligences increases, the greater is the difficulty in coordinating all the parts; the twin dangers of cacophony and opacity lurk around the corner."5It seems that "interactional synchrony"6 can develop among musicians who have "good chemistry" after a warm-up period, but those with conflicting personalities, aesthetic dispositions, or musical styles may have a more difficult time of it. When members of the Tony Gould Quartet were asked how they are able to achieve musical unity, they explained that they have played together for many years, they "hang out and drink together" when not on the bandstand, and they trust each other. Even when one of the members feels "out of sorts," their improvisations are respected as authentic expressions. Others' differences are honored, [End Page 83] rather than felt in opposition to one's self.7 Ingrid Monson8 quotes several musicians who use the metaphor of marriage to describe the musical relationship during a peak performance; on the other hand, jealousy, competition, and even hostility on the bandstand are not uncommon and can destroy an ensemble. So, it appears... (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)

In lieu of an abstract, here is a brief excerpt of the content:The Philosophic Foundations of Mimetic Theory and Cognitive Science(Including Artificial Intelligence)Jean-Pierre Dupuy (bio)In the mid 1970s I discovered at the same time cognitive science and mimetic theory. Being a philosopher with a scientific background, I immediately brought them together and tried to reconceptualize the latter in terms of the former. In a sense, I haven't stopped doing that in the last 45 years. That is why I feel fully (...) at home with the goals pursued by the organizers of this conference.I do not believe it is feasible or even desirable to operate the rapprochement between the two disciplines at a global level. The history of cognitive science is exceedingly involved, and the part played by artificial intelligence in it compared to the part played by the neurosciences has varied greatly over time.1 Only a piecemeal approach makes sense. I present here four short case studies that cover the whole period, from the beginnings in cybernetics to today's artificial intelligence (AI).In order to better situate these studies within a broader frame, I propose the diagram in Figure 1. To comment on it would require more time than available for my whole presentation. Let me just say the following. [End Page 1]It is essential to distinguish between two kinds of AI. The first to bear this name was launched by economist Herbert Simon and computer scientist Allan Newell at a Dartmouth conference in 1956. It was based on the premise that thinking is computing, with this computation bearing on sentences of a "language of thought" implementable in a digital computer. It turns out that this AI(1) was progressively substituted from the 1980s onward by an AI(2), which, to some extent, was a return to a fundamental result obtained by cybernetics in 1943. Neurophysiologist Warren McCulloch and mathematician Walter Pitts had constructed a mathematical model of a network of elementary calculators called "neurons" and explored its properties. The capacity to "think" was one of these. It was not situated at the elementary level, as was the case in AI(1), but it emerged at the collective level from the interactions between the neurons.This model was heavily criticized by the supporters of AI(1),2 and its first implementations, in the notorious "Perceptron" in particular (1957), were pitiful failures. However, the emergence of "second-order cybernetics" under the guidance of cybernetician Heinz von Foerster and the theory of complex, self-organizing systems that it helped develop, in cooperation and rivalry with similar efforts in the physical sciences, enabled the neural network model to come to a second life under different names: formal neurons, deep learning, big data, and the like. Together, they constitute AI(2).The following network of influences wouldn't have been possible without its stem, that is, the boxes containing the names of Kurt Gödel and Alan Turing. The former revolutionized logic by showing that reasoning about arithmetic and arithmetic are one and the same, insofar as it is possible to code in a 1-to-1 fashion propositions about integers (for instance, "7 is a prime number") by means of integers. The latter demonstrated that some mechanisms can self-transcend inasmuch as they generate an ensemble of outputs that cannot be defined mechanistically. Later, John von Neumann, who is credited along with Alan Turing with having invented the digital computer, would use this logical possibility to define complexity: A mechanism is complex if it is capable of generating one more complex than itself. The gate was open for the theories of complex, self-organizing systems to thrive and, by way of consequence, for AI(2) to emerge.fascination with modelsHerbert Simon (1916–2001), winner of the Nobel Prize in economics for his work on what he called "bounded rationality," is generally considered to be one [End Page 2] Click for larger view View full resolutionFigure 1.of the founders of artificial intelligence. Some cognitive scientists still rely on the computer program that he devised with Alan Newell to simulate the creative processes of human thought—a program aptly named "General Problem Solver." The title of one of his principal works, The Sciences of the... (shrink)

Classical neo-Darwinian explanations do not fully account for changes in biological forms, and new theories have emerged, primarily in maths and physics, that offer new approaches to the problem of the origin of life and phenomena of order in evolution. This volume focuses on the role of closure at various hierarchical levels as the catalyst between self-organization and selection. Participants addressed special areas of the closure problem such as autopoiesis and autocatalysis and function and selection, and semiosis. Presentations on (...) physical and mathematical modelling are included. The book seeks to clarify the role closure plays in explaining the emergence, development and evolution of structurally stable systems at the thermodynamic, chemical and biochemical, biological, psychological and cultural levels. (shrink)

Info in English (book is in German): The book "Schöpferische Freiheit" ("Creative Freedom") is considered the third major work of Gestalt psychologist Wolfgang Metzger (1899-1979) - along with his "Psychology" and the "Laws of Seeing". According to Michael Stadler and Wolfgang Crabus, Metzger's real achievement in the further development of Gestalt theory is expressed in this book: "Metzger develops here, on the basis of Köhler's natural philosophical ideas of 'physical Gestalten' (1920) and incorporating the teachings of Zen Buddhism ... a (...) theory of education for creative thought and action. ... This book perhaps most clearly expresses the ethic of free self-determination of human thought and action inherent in Gestalt theory." "Creative Freedom" has lost none of its relevance since its last edition in 1962. It can be considered a foundational work of a Gestalt theory of the living. Jürgen Kriz writes in his preface to the now new edition: "It is extremely gratifying that this central work not only of Gestalt psychology, but (at least from my point of view) also of humanistic psychology and psychotherapy is being reissued. It is currently available only in (all too few) libraries and single antiquarian copies. Yet the central messages and insights of Wolfgang Metzger's 'Creative Freedom' are more relevant than ever: as a necessary warning against the aberrations of an increasing functionalization, medicalization, and progress-believing optimization (for whatever purposes) of the human being in our time." The new edition is accompanied by comments on the topicality and relevance of the work for education and teaching (Marianne Soff) as well as for psychotherapy (Gerhard Stemberger). Buchinformation: Die „Schöpferische Freiheit“ gilt als das dritte Hauptwerk des Gestaltpsychologen Wolfgang Metzger (1899-1979) – neben seiner „Psychologie“ und den „Gesetzen des Sehens“. Nach Michael Stadler und Wolfgang Crabus kommt in diesem Buch Metzgers eigentliche Leistung der Weiterentwicklung der Gestalttheorie zum Ausdruck: „Metzger entwickelt hier auf der Grundlage von Köhlers naturphilosophischen Ideen der ‚physischen Gestalten‘ (1920) und unter Einbeziehung der Lehren des Zen-Buddhismus … eine Theorie der Erziehung zum schöpferischen Denken und Handeln. … Dieses Buch drückt vielleicht am deutlichsten die der Gestalttheorie inhärente Ethik der freien Selbstbestimmung menschlichen Denkens und Handelns aus.“. (shrink)

In this paper, I argue for an embodied, embedded approach to predictive processing and thus align the framework with situated cognition. The recent popularity of theories conceiving of the brain as a predictive organ has given rise to two broad camps in the literature that I call free energy enactivism and cognitivist predictive processing. The two approaches vary in scope and methodology. The scope of cognitivist predictive processing is narrow and restricts cognition to brain processes and structures; it does not (...) consider the body-beyond-brain and the environment as constituents of cognitive processes. Free energy enactivism, on the other hand, includes all self-organizing systems that minimize free energy and thus does not offer any unique explanations for more complex cognitive phenomena that are unique to human cognition. Furthermore, because of its strong commitment to the mind-life continuity thesis, it does not provide an explanation of what distinguishes more sophisticated cognitive systems from simple systems. The account that I develop in this paper rejects both of these radical extremes. Instead, I propose a compromise that highlights the necessary components of predictive processing by making use of a mechanistic methodology of explanation. The starting point of the argument in this paper is that despite the interchangeable use of the terms, prediction error minimization and the free energy principle are not identical. But this distinction does not need to disrupt the status quo of the literature if we consider an alternative approach: Embodied, Embedded Predictive Processing. EEPP accommodates the free energy principle, as argued for by free energy enactivism, but it also allows for mental representations in its explanation of cognition. Furthermore, EEPP explains how prediction error minimization is realized but, unlike cognitivist PP, it allocates a constitutive role to the body in cognition. Despite highlighting concerns regarding cognitivist PP, I do not wish to discredit the role of the neural domain or representations as free energy enactivism does. Neural structures and processes undeniably contribute to the minimization of prediction error but the role of the body is equally important. On my account, prediction error minimization and free energy minimization are deeply dependent on the body of an agent, such that the body-beyond-brain plays a constitutive role in cognitive processing. I suggest that the body plays three constitutive roles in prediction error minimization: The body regulates cognitive activity, ensuring that cognition and action are intricately linked. The body acts as distributor in the sense that it carries some of the cognitive load by fulfilling the function of minimizing prediction error. Finally, the body serves to constrain the information that is processed by an agent. In fulfilling these three roles, the agent and environment enter into a bidirectional relation through influencing and modeling the structure of the other. This connects EEPP to the free energy principle because the whole embodied agent minimizes free energy in virtue of being a model of its econiche. This grants the body a constitutive role as part of the collection of mechanisms that minimize prediction error and free energy. The body can only fulfill its role when embedded in an environment, of which it is a model. In this sense, EEPP offers the most promising alternative to cognitivist predictive processing and free energy enactivism. (shrink)

In this theoretical study we explore the concept of intentional-ity. Intentionality is the specific reference that mental phenomena have with respect to objects, also termed the 'aboutness' of cognitive acts. We discuss intentionality on the basis of self-organized pattern formation, a ubiquitous phenomenon in complex open systems. Dynamical systems theory provides an understanding of how emergent variables originate from microscopic variables. Control parameters comprise those external parameters and gradients that drive the systems they represent environmental inuences. (...) The relationship between pattern formation and control parameters therefore addresses the functioning of a system in its environment. Our hypothesis is that self-organizing systems exhibit intentionality-like capabilities in their responses to environmental inuences. This is modelled using differential calculus, by which we demonstrate how pattern formation reduces control parameters in an efficient manner. These ideas are applied to the complex system brain, using the Wilson-Cowan equations of axonal pulse rates in neural networks. (shrink)

Self-evidencing describes the purported predictive processing of all self-organising systems, whether conscious or not. Self-evidencing in itself is therefore not sufficient for consciousness. Different systems may however be capable of self-evidencing in different, specific and distinct ways. Some of these ways of self-evidencing can be matched up with, and explain, several properties of consciousness. This carves out a distinction in nature between those systems that are conscious, as described by these properties, (...) and those that are not. This approach throws new light on phenomenology, and suggests that some self-evidencing may be characteristic of consciousness. (shrink)