Topics in Cognitive Science 3 (2):438-444 (2011)

Authors
David Michael Kaplan
Washington University in St. Louis
William Bechtel
University of California, San Diego
Abstract
Abstract While agreeing that dynamical models play a major role in cognitive science, we reject Stepp, Chemero, and Turvey's contention that they constitute an alternative to mechanistic explanations. We review several problems dynamical models face as putative explanations when they are not grounded in mechanisms. Further, we argue that the opposition of dynamical models and mechanisms is a false one and that those dynamical models that characterize the operations of mechanisms overcome these problems. By briefly considering examples involving the generation of action potentials and circadian rhythms, we show how decomposing a mechanism and modeling its dynamics are complementary endeavors
Keywords Mechanistic explanation  Explanation  HKB model  Predictivism  Dynamical models
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DOI 10.1111/j.1756-8765.2011.01147.x
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References found in this work BETA

Explanatory Unification and the Causal Structure of the World.Philip Kitcher - 1989 - In Philip Kitcher & Wesley Salmon (eds.), Scientific Explanation. Minneapolis: University of Minnesota Press. pp. 410-505.
Explanation and Scientific Understanding.Michael Friedman - 1974 - Journal of Philosophy 71 (1):5-19.

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Citations of this work BETA

Explanation in Computational Neuroscience: Causal and Non-Causal.M. Chirimuuta - 2018 - British Journal for the Philosophy of Science 69 (3):849-880.
Grounding-Mechanical Explanation.Kelly Trogdon - 2018 - Philosophical Studies 175 (6):1289-1309.

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