On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program

Dynamicism has provided cognitive science with important tools to understand some aspects of “how cognitive agents work” but the issue of “what makes something cognitive” has not been sufficiently addressed yet and, we argue, the former will never be complete without the latter. Behavioristic characterizations of cognitive properties are criticized in favor of an organizational approach focused on the internal dynamic relationships that constitute cognitive systems. A definition of cognition as adaptive-autonomy in the embodied and situated neurodynamic domain is provided: the compensatory regulation of a web of stability dependencies between sensorimotor structures is created and pre served during a historical/developmental process. We highlight the functional role of emotional embodiment: internal bioregulatory processes coupled to the formation and adaptive regulation of neurodynamic autonomy. Finally, we discuss a “minimally cognitive behavior program” in evolutionary simulation modeling suggesting that much is to be learned from a complementary “minimally cognitive organization program”

[1]  T. van Gelder.  The dynamical hypothesis in cognitive science. , 1998, The Behavioral and brain sciences.

[2]  F. Keijzer.  Representation and Behavior , 2001 .

[3]  Randall D. Beer,et al.  The brain has a body: adaptive behavior emerges from interactions of nervous system, body and environment , 1997, Trends in Neurosciences.

[4]  H. Maturana,et al.  Autopoiesis and Cognition , 1980 .

[5]  Dario Floreano,et al.  Evolutionary robots with on-line self-organization and behavioral fitness , 2000, Neural Networks.

[6]  F. Varela.  Principles of biological autonomy , 1979 .

[7]  E. Rosch,et al.  The Embodied Mind: Cognitive Science and Human Experience , 1993 .

[8]  JAKOB VON UEXKÜLL,et al.  The Theory of Meaning , 1982 .

[9]  J. Kelso,et al.  Cortical coordination dynamics and cognition , 2001, Trends in Cognitive Sciences.

[10]  J. Stewart.  Cognition = life: Implications for higher-level cognition , 1995, Behavioural Processes.

[11]  T. Gelder,et al.  The dynamical hypothesis in cognitive science , 1998, Behavioral and Brain Sciences.

[12]  Jean-Arcady Meyer,et al.  Adaptive Behavior , 2005 .

[13]  J. Collier,et al.  Autonomy and Process Closure as the Basis for Functionality , 2000, Annals of the New York Academy of Sciences.

[14]  G. Edelman,et al.  Consciousness : how matter becomes imagination , 2001 .

[15]  Anil K. Seth,et al.  Environment and Behavior Influence the Complexity of Evolved Neural Networks , 2004, Adapt. Behav..

[16]  T. Gelder,et al.  Mind as Motion: Explorations in the Dynamics of Cognition , 1995 .

[17]  Walter J. Freeman,et al.  Representations: Who Needs Them? , 1990 .

[18]  John R. Searle,et al.  Minds, brains, and programs , 1980, Behavioral and Brain Sciences.

[19]  A. Opstal.  Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[20]  Yuichi Nakamura,et al.  Approximation of dynamical systems by continuous time recurrent neural networks , 1993, Neural Networks.

[21]  M. Hyyppä.  Descartes' error. Emotion, reason and the human brain , 1996 .

[22]  Domenico Parisi,et al.  Internal robotics , 2004, Connect. Sci..

[23]  Jeffrey L. Krichmar,et al.  Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines , 2001, Complex..

[24]  E. D. Paolo,et al.  Organismically-inspired robotics: homeostatic adaptation and teleology beyond the closed sensorimotor loop , 2003 .

[25]  Chrisantha Fernando,et al.  Levels of Description: A Novel Approach to Dynamical Hierarchies , 2005, Artificial Life.

[26]  G. Edelman,et al.  Complexity and coherency: integrating information in the brain , 1998, Trends in Cognitive Sciences.

[27]  Mark H. Bickhard,et al.  The Process Dynamics of Normative Function , 2002 .

[28]  H. Jonas.  The phenomenon of life: toward a philosophical biology , 1966 .

[29]  Alvaro Moreno,et al.  Searching for the roots of autonomy: The natural and artificial paradigms revisited , 2000 .

[30]  H. Maturana,et al.  Autopoiesis and Cognition : The Realization of the Living (Boston Studies in the Philosophy of Scie , 1980 .

[31]  Randall D. Beer,et al.  The Dynamics of Active Categorical Perception in an Evolved Model Agent , 2003, Adapt. Behav..

[32]  James L. McGaugh,et al.  Brain Organization and Memory: Cells, Systems, and Circuits , 1992 .

[33]  Kepa Ruiz-Mirazo,et al.  Basic Autonomy as a Fundamental Step in the Synthesis of Life , 2004, Artificial Life.

[34]  Karl J. Friston.  The labile brain. I. Neuronal transients and nonlinear coupling. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[35]  Marc D. Lewis.  Bridging emotion theory and neurobiology through dynamic systems modeling , 2005, Behavioral and Brain Sciences.

[36]  Gerald M. Edelman,et al.  The Remembered Present; A Biological Theory of Consciousness. , 1994 .

[37]  G. Miller,et al.  Artificial Evolution: A New Path for Artificial Intelligence? , 1997, Brain and Cognition.

[38]  J. Martinerie,et al.  The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.

[39]  Randall D. Beer,et al.  The dynamics of adaptive behavior: A research program , 1997, Robotics Auton. Syst..

[40]  N. Wiener,et al.  Behavior, Purpose and Teleology , 1943, Philosophy of Science.

[41]  Jakob von Uexküll,et al.  The Theory of Meaning , 1982 .

[42]  Pattie Maes,et al.  Toward the Evolution of Dynamical Neural Networks for Minimally Cognitive Behavior , 1996 .

[43]  Andy Clark,et al.  Doing without representing? , 1994, Synthese.

[44]  G. Ermentrout.  Dynamic patterns: The self-organization of brain and behavior , 1997 .

[45]  W. Freeman,et al.  How brains make chaos in order to make sense of the world , 1987, Behavioral and Brain Sciences.

[46]  G. Fricchione.  Descartes’ Error: Emotion, Reason and the Human Brain , 1995 .

[47]  T. Ziemke.  What’s that Thing Called Embodiment? , 2003 .

[48]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[49]  H. Pattee.  DYNAMIC AND LINGUISTIC MODES OF COMPLEX SYSTEMS , 1977 .

[50]  E. D. Paolo,et al.  Autopoiesis, Adaptivity, Teleology, Agency , 2005 .

[51]  A. Bechara.  The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage , 2004, Brain and Cognition.

[52]  D. Lewkowicz,et al.  A dynamic systems approach to the development of cognition and action. , 2007, Journal of cognitive neuroscience.

[53]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[54]  R. Rosen.  Life Itself: A Comprehensive Inquiry Into the Nature, Origin, and Fabrication of Life , 1991 .

[55]  Phil Husbands,et al.  Better Living Through Chemistry: Evolving GasNets for Robot Control , 1998, Connect. Sci..

[56]  Edward E. Smith,et al.  Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence , 1988 .

[57]  Michael Conrad,et al.  Self-modifying systems in biology and cognitive science: A new framework for dynamics, information and complexity: By George Kampis, Pergamon Press, Oxford, 1991, 543 pp., US$100 , 1992 .

[58]  Di Paolo,et al.  Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions , 2000 .

[59]  J. Todd,et al.  INVESTIGATIONS , 1984, The Lancet.

[60]  Gertrudis Van de Vijver,et al.  Closure : emergent organizations and their dynamics , 2000 .

[61]  A. Clark.  Being There: Putting Brain, Body, and World Together Again , 1996 .

[62]  Simon Parsons,et al.  Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines by Stefano Nolfi and Dario Floreano, MIT Press, 320 pp., $28.00, ISBN 0-262-14070-5 , 2004, Knowledge engineering review (Print).