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Computer programming as a cognitive paradigm

As work on artificial intelligence has made increasingly clear, intelligent behaviour depends more on an organised knowledge of the real world than on problem-solving mechanisms. This has led in artificial intelligence research to an increasing preoccupation with techniques for representing such knowledge, and recently to a view of programming as itself a form of knowledge representation.

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References

  1. 1

    Nature, 250, 533–534 (1974).

  2. 2

    Higman, B. A., A comparative study of programming languages (Elsevier, Amsterdam, 1967).

  3. 3

    Moore, J., and Newell, A., Knowledge and Cognition (edit. by Gregg, L.) (Lawrence Eribaum Associates, Potomac, 1973).

  4. 4

    Kelley, M. D., Machine Intelligence, 6, 397–409 (Edinburgh University Press, Edinburgh, 1971).

  5. 5

    Raphael, B., in Proc. Fall Joint Computer Conference (Association for Computing Machinery, New York, 1964).

  6. 6

    Schank, R., et al., in Proc. Third int. joint Conf. Artificial Intelligence, 255–261 (Stanford University, 1973).

  7. 7

    Wilks, Y., Nature, 252, 275–278 (1974).

  8. 8

    Reiger, C., thesis, Stanford Univ. (1973).

  9. 9

    Moses, J., Technical report MAC-TR-47 (Project MAC, Massachusetts Institute of Technology, 1967).

  10. 10

    Winston, P. H., Report 231 (Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1970).

  11. 11

    Winograd, T., Understanding Natural Language (Edinburgh University Press, Edinburgh, 1972).

  12. 12

    Hewitt, C., Report 258 (Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1972).

  13. 13

    Minsky, M., and Papert, S., Progress Report (Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1973).

  14. 14

    Sussman, G., Winograd, T., and Charniak, E., Micro-planner Reference Manual (Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1973).

  15. 15

    Hayes, P. J., in Proc. Second math. Found. computer Sci. Symp. (Czech. Academy of Sciences, Prague, 1973).

  16. 16

    Hewitt, C., Proc. Third int. Joint Conf. Artificial Intelligence, 235–245 (Stanford University, 1973).

  17. 17

    Sussman, G., Report 297 (Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1974).

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