David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 19 (4):529-541 (2009)
The paper presents a paradoxical feature of computational systems that suggests that computationalism cannot explain symbol grounding. If the mind is a digital computer, as computationalism claims, then it can be computing either over meaningful symbols or over meaningless symbols. If it is computing over meaningful symbols its functioning presupposes the existence of meaningful symbols in the system, i.e. it implies semantic nativism. If the mind is computing over meaningless symbols, no intentional cognitive processes are available prior to symbol grounding. In this case, no symbol grounding could take place since any grounding presupposes intentional cognitive processes. So, whether computing in the mind is over meaningless or over meaningful symbols, computationalism implies semantic nativism.
|Keywords||symbol grounding Fodor computationalism computing nativism|
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References found in this work BETA
David J. Chalmers (2011). A Computational Foundation for the Study of Cognition. Journal of Cognitive Science 12 (4):323-357.
Paul M. Churchland (2005). Functionalism at Forty: A Critical Retrospective. Journal of Philosophy 102 (1):33-50.
B. Jack Copeland (2002). Hypercomputation. Minds and Machines 12 (4):461-502.
B. Jack Copeland (2000). Narrow Versus Wide Mechanism: Including a Re-Examination of Turing's Views on the Mind-Machine Issue. Journal of Philosophy 97 (1):5-33.
Jack Copeland (1997). The Broad Conception of Computation. American Behavioral Scientist 40 (6):690-716.
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