David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 1 (2):129-166 (1991)
Cognitive science uses the notion of computational information processing to explain cognitive information processing. Some philosophers have argued that anything can be described as doing computational information processing; if so, it is a vacuous notion for explanatory purposes.An attempt is made to explicate the notions of cognitive information processing and computational information processing and to specify the relationship between them. It is demonstrated that the resulting notion of computational information processing can only be realized in a restrictive class of dynamical systems called physical notational systems (after Goodman's theory of notationality), and that the systems generally appealed to by cognitive science-physical symbol systems-are indeed such systems. Furthermore, it turns out that other alternative conceptions of computational information processing, Fodor's (1975) Language of Thought and Cummins' (1989) Interpretational Semantics appeal to substantially the same restrictive class of systems
|Keywords||Computation cognition representation information processing physical symbol systems language of thought|
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References found in this work BETA
D. Broadbent (1985). A Question of Levels: Comment on McClelland and Rumelhart. Journal of Experimental Psychology 114:189-92.
Noam Chomsky (1965). Aspects of the Theory of Syntax. The Mit Press.
Noam A. Chomsky (1980). Rules and Representations. Behavioral and Brain Sciences 3 (127):1-61.
Citations of this work BETA
John R. Searle (1993). Consciousness, Attention and the Connection Principle. Behavioral and Brain Sciences 16 (1):198.
Bela Julesz (1993). Consciousness and Focal Attention: Answer to John Searle. Behavioral and Brain Sciences 16 (1):191.
Karl Pfeifer (1993). Causal Dispositions, Aspectual Shape and Intentionality. Behavioral and Brain Sciences 16 (1):196.
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