David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Philosophical Psychology 19 (6):795-821 (2006)
According to the computational theory of mind , to think is to compute. But what is meant by the word 'compute'? The generally given answer is this: Every case of computing is a case of manipulating symbols, but not vice versa - a manipulation of symbols must be driven exclusively by the formal properties of those symbols if it is qualify as a computation. In this paper, I will present the following argument. Words like 'form' and 'formal' are ambiguous, as they can refer to form in either the syntactic or the morphological sense. CTM fails on each disambiguation, and the arguments for CTM immediately cease to be compelling once we register that ambiguity. The terms 'mechanical' and 'automatic' are comparably ambiguous. Once these ambiguities are exposed, it turns out that there is no possibility of mechanizing thought, even if we confine ourselves to domains where all problems can be settled through decision-procedures. The impossibility of mechanizing thought thus has nothing to do with recherché mathematical theorems, such as those proven by Gödel and Rosser. A related point is that CTM involves, and is guilty of reinforcing, a misunderstanding of the concept of an algorithm.
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References found in this work BETA
Joseph Almog, John Perry & Howard K. Wettstein (eds.) (1989). Themes From Kaplan. Oxford University Press, Usa.
Jerry A. Fodor (1981). Representations: Philosophical Essays on the Foundations of Cognitive Science. MIT Press.
Jerry A. Fodor (1975). The Language of Thought. Harvard University Press.
Jerry A. Fodor (1998). Concepts: Where Cognitive Science Went Wrong. Oxford University Press.
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