Nature's subtlety undermines the empirical relevance of both dynamical and computational hypotheses
Behavioral and Brain Sciences 21 (5):646-647 (1998)
| Abstract | Technical hitches mar van Gelder's proposed map of the conceptual landscape, particularly with respect to descriptive levels and the trio of instantiation, realisation, and implementation. However, for all the formal quibbles, van Gelder is onto something important; the tension he notes between computationalism and a dynamical alternative threatens to transform the way we conduct cognitive science research. | |||||||||
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Chris Eliasmith (1997). Computation and Dynamical Models of Mind. Minds and Machines 7 (4):531-41.
Michael Wheeler (1998). An Appeal for Liberalism, or Why Van Gelder's Notion of a Dynamical System is Too Narrow for Cognitive Science. Behavioral and Brain Sciences 21 (5):653-654.
Gerard O'Brien (1998). Digital Computers Versus Dynamical Systems: A Conflation of Distinctions. Behavioral and Brain Sciences 21 (5):648-649.
Gerard O.’Brien (1998). Digital Computers Versus Dynamical Systems: A Conflation of Distinctions. Behavioral and Brain Sciences 21:648-649.
Terence Horgan & John Tienson (1998). Resisting the Tyranny of Terminology: The General Dynamical Hypothesis in Cognitive Science. Behavioral and Brain Sciences 21 (5):643-643.
William Bechtel (1998). Dynamicists Versus Computationalists: Whither Mechanists? Behavioral and Brain Sciences 21 (5):629-629.
Steven R. Quartz (1998). Distinguishing Between the Computational and Dynamical Hypotheses: What Difference Makes the Difference? Behavioral and Brain Sciences 21 (5):649-650.
Randall D. Beer (1998). Framing the Debate Between Computational and Dynamical Approaches to Cognitive Science. Behavioral and Brain Sciences 21 (5):630-630.
Tim van Gelder (1998). The Dynamical Hypothesis in Cognitive Science. Behavioral and Brain Sciences 21 (5):615-28.
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