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Confirmation and the computational paradigm (or: Why do you think they call itartificial intelligence?)

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Abstract

The idea that human cognitive capacities are explainable by computational models is often conjoined with the idea that, while the states postulated by such models are in fact realized by brain states, there are no type-type correlations between the states postulated by computational models and brain states (a corollary of token physicalism). I argue that these ideas are not jointly tenable. I discuss the kinds of empirical evidence available to cognitive scientists for (dis)confirming computational models of cognition and argue that none of these kinds of evidence can be relevant to a choice among competing computational models unless there are in fact type-type correlations between the states postulated by computational models and brain states. Thus, I conclude, research into the computational procedures employed in human cognition must be conducted hand-in-hand with research into the brain processes which realize those procedures.

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References

  • Churchland, P. S. (1986),Neurophilosophy, Cambridge, MA: MIT Press.

    Google Scholar 

  • Dennett, D. (1971), ‘Intentional Systems’,Journal of Philosophy LXVIII, pp. 87–106.

    Google Scholar 

  • Dreyfus, H. (1979),What Computers Can't Do (revised edition), New York: Colophon Books.

    Google Scholar 

  • Ericsson, K. A. and Simon, H. A. (1980), ‘Verbal Reports as Data’,Psychological Review 87, pp. 215–251.

    Google Scholar 

  • Flanagan, O. J. (1984),The Science of Mind, Cambridge, MA: MIT Press.

    Google Scholar 

  • Fodor, J. A. (1981), ‘Special Sciences’,Representations, Cambridge, MA: MIT Press, pp. 127–145.

    Google Scholar 

  • Fodor, J. A. (1983),The Modularity of Mind, Cambridge, MA: MIT Press.

    Google Scholar 

  • Glymour, C. (1980),Theory and Evidence, Princeton: Princeton University Press.

    Google Scholar 

  • Haugeland, J. (1983), ‘Ontological Supervenience’,Southern Journal of Philosophy 22, Supplement, pp. 1–12.

    Google Scholar 

  • Haugeland, J. (1985),Artificial Intelligence: The Very Idea, Cambridge: MIT Press.

    Google Scholar 

  • Haugeland, J. (1990), ‘The Intentionality All-Stars’, in J. Tomberlin, ed.,Philosophical Perspectives, 4:Action Theory and Philosophy of Mind, Atascadero, CA: Ridgeview Publishing Co., pp. 383–427.

    Google Scholar 

  • Kim, J. (1980), ‘Physicalism and the Multiple Realizability of Mental States’, in N. Block, ed.,Readings in Philosophy of Psychology Vol. 1, Cambridge, MA: Harvard University Press, pp. 234–236.

    Google Scholar 

  • Lewis, D. (1980a), ‘Review of Putnam’, in N. Block, ed.,Readings in Philosophy of Psychology, Vol. 1, Cambridge, MA: Harvard University Press, pp. 232–233.

    Google Scholar 

  • Lewis, D. (1980b), ‘Psychophysical and Theoretical Identifications’, in N. Block, ed.,Readings in Philosophy of Psychology, Vol. 1, Cambridge, MA: Harvard University Press, pp. 207–215.

    Google Scholar 

  • Lewis, D. (1980c), ‘Mad Pain and Martian Pain’, in N. Block, ed.,Readings in Philosophy of Psychology, Vol. 1, Cambridge, MA: Harvard University Press, pp. 216–222.

    Google Scholar 

  • Miller, R.W. (1987),Fact and Method, Princeton: Princeton University Press.

    Google Scholar 

  • Nisbett, R.E. and Wilson, T. (1977), ‘Telling More Than We Can Know: Verbal Reports on Mental Processes’,Psychological Review 84, pp. 231–259.

    Google Scholar 

  • Pylyshyn, Z. (1978), ‘Computational Models and Empirical Constraints’,Behavioral and Brain Sciences 1, pp. 93–99.

    Google Scholar 

  • Pylyshyn, Z. (1980), ‘Computation and Cognition: Issues in the Foundations of Cognitive Science’,Behavioral and Brain Sciences 3, pp. 111–169.

    Google Scholar 

  • Pylyshyn, Z. (1981), ‘Complexity and the Study of Artificial and Human Intelligence’, in J. Haugeland, ed.,Mind Design, Cambridge, MA: MIT Press, pp. 67–94.

    Google Scholar 

  • Pylyshyn, Z. (1984),Computation and Cognition, Cambridge, MA: MIT Press.

    Google Scholar 

  • Quattrone, G. (1985), ‘On the Congruity Between Internal States and Action’,Psychological Bulletin 98, pp. 3–40.

    Google Scholar 

  • Simon, H.A. (1978), ‘On How We Decide What to Do’,Bell Journal of Economics 9, pp. 494–507.

    Google Scholar 

  • Simon, H. A. (1985), ‘Some Computer Models of Human Learning’, in M. Shafto, ed.,How We Know, San Francisco: Harper & Row, pp. 89–112.

    Google Scholar 

  • Stich, S. (1983),From Folk Psychology to Cognitive Science: The Case Against Belief, Cambridge, MA: MIT Press.

    Google Scholar 

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Buller, D.J. Confirmation and the computational paradigm (or: Why do you think they call itartificial intelligence?). Mind Mach 3, 155–181 (1993). https://doi.org/10.1007/BF00975530

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