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Can Machines Think?

  • Daniel C. Dennett
Chapter

Summary

Much has been written about the Turing Test in the last few years, some of it preposterously off the mark. People typically mis-imagine the test by orders of magnitude. This essay is an antidote, a prosthesis for the imagination, showing how huge the task posed by the Turing Test is, and hence how unlikely it is that any computer will ever pass it. It does not go far enough in the imagination-enhancement department, however, and I have updated the essay with a new postscript.

Keywords

Expert System World Knowledge Computing Machinery Combinatorial Explosion Turing Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Block, N., 1982, “Psychologism and Behaviorism,” Philosophical Review, 90:5–43.CrossRefGoogle Scholar
  2. 2.
    Colby, K. M., 1981, “Modeling a Paranoid Mind,” Behavioral and Brain Sciences, 4(4):515–560.MathSciNetCrossRefGoogle Scholar
  3. 3.
    Descartes, R., 1637, Discourse on Method, LaFleur, Lawrence, trans., New York: Bobbs Merrill, 1960.Google Scholar
  4. 4.
    Haugeland, J., 1981, Mind Design: Philosophy, Psychology, Artificial Intelligence, Cambridge, MA: Bradford Books/The MIT Press.Google Scholar
  5. 5.
    Heiser, J. F., Colby, K. M., Faught, W. S., and Parkinson, R. C., 1980, “Can Psychiatrists Distinguish a Computer Simulation of Paranoia from the Real Thing? The Limitations of Turing-Like Tests as Measures of the Adequacy of Simulations,” Journal of Psychiatric Research, 15(3): 149–162.CrossRefGoogle Scholar
  6. 6.
    Kolodner, J. L., 1983, “Retrieval and Organization Strategies in Conceptual Memory: A Computer Model” (Ph.D. diss.), Research Report #187, Dept. of Computer Science, Yale University.Google Scholar
  7. 7.
    Kolodner, J. L., 1983, “Maintaining Organization in a Dynamic Long-term Memory,” Cognitive Science, 7:243–279.CrossRefGoogle Scholar
  8. 8.
    Kolodner, J. L., 1983, “Reconstructive Memory: A Computer Model,” Cognitive Science, 7:281–328.CrossRefGoogle Scholar
  9. 9.
    Turing, A. M., 1950, “Computing Machinery and Intelligence,” Mind, 59(236):433–460.MathSciNetCrossRefGoogle Scholar
  10. 10.
    Weizenbaum, J., 1974, letter to the editor, Communications of the Association of Computing Machinery, 17(9), September.Google Scholar
  11. 11.
    Winograd, T., 1972, Understanding Natural Language, New York: Academic Press.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Daniel C. Dennett
    • 1
  1. 1.Center for Cognitive StudiesTufts UniversityUSA

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