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Connectionism, Computation, and Cognition

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Connectionism and the Philosophy of Mind

Part of the book series: Studies in Cognitive Systems ((COGS,volume 9))

Abstract

Our goal in this paper is to locate connectionism in the explanatory enterprise of cognitive science. Consequently we start out by sketching the fundamentals of computationalism, which has been the dominant working hypothesis in the field. After briefly distinguishing computationalism per se from a number of controversial theses that are sometimes packaged with it (by friends and foes alike), we turn to our main focus: how connectionism relates to computationalism. We claim that connectionist research typically shares the defining assumptions of computationalism, though this has often been obscured by confusing computationalism with one or another special form of it (e.g., the language of thought hypothesis). Though connectionist models typically are computationalist in spirit, they needn’t be. We conclude by outlining a possible connectionist position which would constitute a radical departure from basic computationalist assumptions.

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References

  • Anderson, J.: 1983, The Architecture of Cognition, Harvard University Press, Cambridge.

    Google Scholar 

  • Chomsky, N.: 1965, Aspects of the Theory of Syntax, MIT Press, Cambridge.

    Google Scholar 

  • Cummins, R.: 1978, ‘Explanation and Subsumption’, PSA 1978: Proceedings of the Philosophy of Science Association, v. 1, 1978, pp. 163–175.

    Google Scholar 

  • Cummins, R.: (in press), ‘The Role of Representation in Connectionist Explanations of Cognitive Capacities’, in Ramsey W., S. Stich, and D. Rumelhart (in press), Connectionism and Philosophy, Erlbaum.

    Google Scholar 

  • Dreyfus, H., and Dreyfus, S.: 1985, Mind Over Machine, Macmillan.

    Google Scholar 

  • Elman, J.: 1989, ‘Representation and Structure in Connectionist Models’, Technical Report 8903, Center for Research in Language, University of California, San Diego.

    Google Scholar 

  • Elman, J.: (in press), ‘Finding Structure in Time’, Cognitive Science.

    Google Scholar 

  • Fodor, J.: (1984), ‘Why Paramecia Don’t Have Mental Representations’, Midwest Studies in Philosophy 10, pp. 3–23.

    Article  Google Scholar 

  • Fodor, J., and Pylyshyn, Z.: 1988, ‘Connectionism and Cognitive Architecture: A Critical Analysis’, Cognition 28, pp. 3–71.

    Article  Google Scholar 

  • Haugeland, J.: 1986, Artificial Intelligence: The Very Idea, MIT Press, a Bradford Book, Cambridge.

    Google Scholar 

  • Hillis, W.: 1985, The Connection Machine, MIT Press, Cambridge.

    Google Scholar 

  • Hinton, G., McClelland, J., and Rumelhart, D.: 1986, ‘Distributed Representations’, in Rumelhart and McClelland (eds), Parallel Distributed Processing, v. 1., MIT Press, a Bradford Book, Cambridge.

    Google Scholar 

  • Holland, J., Holyoak, K., Nisbett, R., and Thagard, P.: 1986, Induction: Processes of Inference, Learning and Discovery, MIT Press, a Bradford Book, Cambridge.

    Google Scholar 

  • Klahr, D., Langley, P., and Neches, R., (eds.): 1987, Production System Models of Learning and Development, MIT Press, a Bradford Book, Cambridge.

    Google Scholar 

  • Lipovski and Malek: 1987, Parallel Computing: Theory and Comparisons, Riley, New York.

    Google Scholar 

  • Marr, D.: 1982, Vision, W. H. Freeman, San Francisco.

    Google Scholar 

  • Sejnowski, T., and Rosenberg, C.: 1987, ‘Parallel Networks that Learn to Pronounce English Text’, Complex Systems, v.1, pp. 145–168.

    Google Scholar 

  • Servan-Schreiber, D., Cleeremans, A., and McClelland, J.: 1988, ‘Encoding Sequential Structure in Simple Recurrent Networks’, Technical Report, CMU-CS-88-183, Computer Science Department, Carnegie-Mellon University.

    Google Scholar 

  • Smolensky, P.: 1988, ‘On the Proper Treatment of Connectionism’, The Behavioral and Brain Sciences, v. 11, no. 1.

    Google Scholar 

  • Smolensky, P.: in press, ‘Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems’, Artificial Intelligence.

    Google Scholar 

  • Turing, A.: 1950, ‘Computing Machinery and Intelligence’, Mind 59, pp. 434–460.

    Google Scholar 

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© 1991 Springer Science+Business Media Dordrecht

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Cummins, R., Schwarz, G. (1991). Connectionism, Computation, and Cognition. In: Horgan, T., Tienson, J. (eds) Connectionism and the Philosophy of Mind. Studies in Cognitive Systems, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3524-5_3

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  • DOI: https://doi.org/10.1007/978-94-011-3524-5_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5559-8

  • Online ISBN: 978-94-011-3524-5

  • eBook Packages: Springer Book Archive

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