Minds and Machines 15 (3):271-333 (2005)

Abstract
The concepts and powerful mathematical tools of Dynamical Systems Theory (DST) yield illuminating methods of studying cognitive processes, and are even claimed by some to enable us to bridge the notorious explanatory gap separating mind and matter. This article includes an analysis of some of the conceptual and empirical progress Dynamical Systems Theory is claimed to accomodate. While sympathetic to the dynamicist program in principle, this article will attempt to formulate a series of problems the proponents of the approach in question will need to face if they wish to prolong their optimism. The main points to be addressed involve the reductive tendencies inherent in Dynamical Systems Theory, its somewhat muddled position relative to connectionism, the metaphorical nature DST-C exhibits which hinders its explanatory potential, and DST-C's problematic account of causality. Brief discussions of the mathematical and philosophical backgrounds of DST, seminal experimental work and possible adaptations of the theory or alternative suggestions (dynamicist connectionism, neurophenomenology, R&D theory) are included
Keywords Computer Science   Systems Theory, Control   Interdisciplinary Studies   Philosophy of Mind   Artificial Intelligence
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DOI 10.1007/s11023-004-8339-2
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References found in this work BETA

Models and Analogies in Science.Mary B. Hesse - 1963 - University of Notre Dame Press.
The Ecological Approach to Visual Perception.Marc H. Bornstein - 1980 - Journal of Aesthetics and Art Criticism 39 (2):203-206.

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Citations of this work BETA

The Nature of Dynamical Explanation.Carlos Zednik - 2011 - Philosophy of Science 78 (2):238-263.
Embodied Cognition.A. Wilson Robert & Foglia Lucia - 2011 - Stanford Encyclopedia of Philosophy.
A Verisimilitudinarian Analysis of the Linda Paradox.Gustavo Cevolani, Vincenzo Crupi & Roberto Festa - 2012 - VII Conference of the Spanish Society for Logic, Methodology and Philosphy of Science.

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