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  1. Intelligence without representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
    Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and parallel activity (...)
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  • A dynamical systems perspective on agent-environment interaction.Randall D. Beer - 1995 - Artificial Intelligence 72 (1-2):173-215.
  • Complexity: life at the edge of chaos.Roger Lewin - 1993 - New York: Maxwell Macmillan International.
  • The structure of behavior.Maurice Merleau-Ponty - 1963 - Boston,: Beacon Press.
    At the time of his death in May 1961, Maurice Merleau-Ponty held the chair of Philosophy at the College de France. Together with Jean-Paul Sartre and Simone de Beauvoir, he was cofounder of the successful and influential review Les Temps Modernes. However, after Merleau-Ponty's two studies of Marxist theory and practice (Humanisme et Terreur and Les Aventures de la Dialectique), he alienated both orthodox Marxists and "mandarins of the left" such as Sartre and de Beauvoir. Perhaps his most lasting contribution (...)
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  • Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems.Ichiro Tsuda - 2001 - Behavioral and Brain Sciences 24 (5):793-810.
    Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in high-dimensional dynamical systems with and without a noise term has motivated a new interpretation of this dynamic neural activity, cast in terms of the high-dimensional transitory dynamics among “exotic” attractors. This interpretation is quite different from the conventional one, cast in terms of simple behavior on low-dimensional attractors. Skarda and Freeman (1987) presented evidence (...)
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  • How brains make chaos in order to make sense of the world.Christine A. Skarda & Walter J. Freeman - 1987 - Behavioral and Brain Sciences 10 (2):161-173.
  • Bridging emotion theory and neurobiology through dynamic systems modeling.Marc D. Lewis - 2005 - Behavioral and Brain Sciences 28 (2):169-194.
    Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. These mechanisms (...)
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  • Studies in the logic of explanation.Carl Gustav Hempel & Paul Oppenheim - 1948 - Philosophy of Science 15 (2):135-175.
    To explain the phenomena in the world of our experience, to answer the question “why?” rather than only the question “what?”, is one of the foremost objectives of all rational inquiry; and especially, scientific research in its various branches strives to go beyond a mere description of its subject matter by providing an explanation of the phenomena it investigates. While there is rather general agreement about this chief objective of science, there exists considerable difference of opinion as to the function (...)
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  • The Principles of Life.Tibor Ganti - 2003 - Oxford University Press UK.
    This highly readable theory of life and its origins offers a non-technical discussion of a chemical perspective on the fundamental organisation of living systems. Essays on the biological and philosophical significance of Ganti's work of thirty years indicate not only its enduring theoretical significance, but also the continuing relevance and heuristic power of Ganti's insights.
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  • The Origins of Order: Self Organization and Selection in Evolution.Stuart A. Kauffman - 1993 - Oxford University Press.
    Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order widely observed throughout nature. Kauffman here argues that self-organization plays an (...)
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  • Life Itself: A Comprehensive Inquiry Into the Nature, Origin, and Fabrication of Life.Robert Rosen - 2005 - Complexity in Ecological Systems.
    What is life? For four centuries, it has been believed that the only possible scientific approach to this question proceeds from the Cartesian metaphor -- organism as machine. Therefore, organisms are to be studied and characterized the same way "machines" are; the same way any inorganic system is. Robert Rosen argues that such a view is neither necessary nor sufficient to answer the question. He asserts that life is not a specialization of mechanism, but rather a sweeping generalization of it. (...)
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  • The Language of Thought.J. A. Fodor - 1978 - Critica 10 (28):140-143.
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  • Mind As Motion: Explorations in the Dynamics of Cognition.Tim van Gelder & Robert Port (eds.) - 1995 - MIT Press.
    The first comprehensive presentation of the dynamical approach to cognition. It contains a representative sampling of original, current research on topics such as perception, motor control, speech and language, decision making, and development.
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  • The triple helix: gene, organism, and environment.Richard C. Lewontin - 2000 - Cambridge, Mass.: Harvard University Press. Edited by Richard C. Lewontin.
    One of our most brilliant evolutionary biologists, Richard Lewontin has also been a leading critic of those--scientists and non-scientists alike--who would misuse the science to which he has contributed so much. In The Triple Helix, Lewontin the scientist and Lewontin the critic come together to provide a concise, accessible account of what his work has taught him about biology and about its relevance to human affairs. In the process, he exposes some of the common and troubling misconceptions that misdirect and (...)
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  • The Architecture of Complexity.Herbert A. Simon - 1962 - Proceedings of the American Philosophical Society 106.
     
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  • A Dynamic Systems Approach to the Development of Cognition and Action.David Morris, E. Thelen & L. B. Smith - 1997 - International Studies in the Philosophy of Science 11 (2).
  • Complexly organised dynamical systems.John D. Collier & Clifford A. Hooker - 1999 - Open Systems and Information Dynamics 6 (3):241–302.
    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 (...)
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  • Atom and Organism.Walter M. Elsasser - 1969 - British Journal for the Philosophy of Science 20 (1):89-92.
     
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  • Problems of Life--An Evaluation of Modern Biological Thought.Ludwig von Bertalanffy - 1953 - British Journal for the Philosophy of Science 3 (12):386-388.
  • Tinkering and emergence in complex networks [J].Ferrer R. Sole’Rv, J. M. Montoya & S. Valverde - 2002 - Complexity 8 (1):20-33.
     
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