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Levels of Description in Nonclassical Cognitive Science

Published online by Cambridge University Press:  08 January 2010

Extract

David Marr (1982) provided an influential account of levels of description in classical cognitive science. In this paper we contrast Marr'ent with some alternatives that are suggested by the recent emergence of connectionism. Marr's account is interesting and important both because of the levels of description it distinguishes, and because of the way his presentation reflects some of the most basic, foundational, assumptions of classical AI-style cognitive science (classicism, as we will call it henceforth). Thus, by focusing on levels of description, one can sharpen foundational differences between classicism and potential non-classical conceptions of mentality that might emerge under the rubric of connectionism.

Type
Papers
Copyright
Copyright © The Royal Institute of Philosophy and the contributors 1993

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References

Aizawa, K. forthcoming. ‘Representations without rules, connectionism, and the syntactic argument’, Synthese.Google Scholar
Berg, G. 1992. ‘A connectionist parser with recursive sentence structure and lexical disambiguation’, Proceedings of the American Association for Artificial Intelligence, in press.Google Scholar
Chomsky, N. 1981. Lectures on Government and Binding. Dordrecht: Foris.Google Scholar
Churchland, P. M. 1989. A Neurocomputational Perspective: The Nature of Mind and the Structure of Science. Cambridge, MA: M.I.T. Press.Google Scholar
Cummins, R. 1983. The Nature of Psychological Explanation. Cambridge, MA: M.I.T.Google Scholar
Fodor, J. A. and Pylyshyn, Z. 1988. ‘Connectionism and cognitive architecture: a critical analysis’, in Pinker, S. and Mehler, J. (eds) Connections and Syrnbols. Cambridge, MA: M.I.T. Press.Google Scholar
Fodor, J. and McLaughlin, B. 1990. ‘Connectionism and the problem of systematicity: why Smolensky's solution doesn't work’, Cognition, 35, 183204.Google Scholar
Freeman, W. 1991. ‘The physiology of perception’, Scientific American, 264, 2, 78–85.CrossRefGoogle ScholarPubMed
Horgan, T. 1992. ‘From cognitive science to folk psychology: computation, mental representation, and belief’, Philosophy and Phenomenological Research, 52, 449–84.Google Scholar
Horgan, T. and Tienson, J. 1989. ‘Representations without rules’, Philosophical Topics, 17, 27–43.CrossRefGoogle Scholar
Horgan, T. and Tienson, J. 1990. ‘Soft laws’, Midwest Studies in Philosophy 15, 256–79.Google Scholar
Horgan, T. and Tienson, J. 1992a. ‘Cognitive systems as dynamical systems’, Topoi, 11, 2743.CrossRefGoogle Scholar
Horgan, T. and Tienson, J. 1992b. ‘Structured Representations in Connectionist Systems?’, in Davis, S. (ed.) Connectionism: Theory and Practice. Oxford: Oxford University Press.Google Scholar
Horgan, T. and Tienson, J. forthcoming a. Connectionism and the Philosophy of Psychology: Representational Realism without Rules. Cambridge, MA: M.I.T. Press.CrossRefGoogle Scholar
Horgan, T. and Tienson, J. forthcoming b, ‘A nonclassical framework for cognitive science’, Synthese.Google Scholar
Lloyd, D. 1991. ‘Leaping to conclusions: connectionism, consciousness, and the computational mind’, in Horgan, T. and Tienson, J. (eds), Connectionism and the Philosophy of Mind. Dordrecht: Kluwer.Google Scholar
Marr, D. 1982. Vision. New York: Freeman.Google Scholar
Marr, D. 1977. ‘Artificial intelligence—a personal view’, Artifical Intelligence 9, 3747. Reprinted in J. Haugeland (ed.) Mind Design, Cambridge, MA: M.I.T.CrossRefGoogle Scholar
Miller, G. 1965. ‘Some preliminaries to psycholinguistics, American Psychologist, 20, 1520.Google Scholar
Pollack, J. 1990. ‘Recursive distributed representations’, Artificial Intelligence, 46, 77105.CrossRefGoogle Scholar
Sells, P. 1985. Lectures on Contemporary Syntactic Theories. Stanford, CA: Center for the Study of Language and Information.Google Scholar
Skarda, C. and Freeman, W. 1987. ‘How brains make chaos in order to make sense of the world’, Behavioral and Brain Sciences 10, 161–95.Google Scholar