When Will Machines Learn?

  • Douglas B. Lenat
Part of the Machine Learning book series (SECS, volume 92)

Abstract

Why don’t our learning programs just keep on going and become generally intelligent? The source of the problem is that most of our learning occurs at the fringe of what we already know. The more you know, the more (and faster) you can learn.

Keywords

Brittle Editing Metaphor 

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References

  1. Hayes, P. 1985. Naive physics manifesto. In Hobbs and Moore (Eds.), Formal theories of the common sense world. Norwood: Ablex.Google Scholar
  2. Lenat, D., and Guha, R.Y. 1988. The world according to CYC. (MCC Technical Report Number ACA-AI-300-88.) An expanded version of this, in book form, is (in press) Building large knowledge-based systems: Representation and inference in the CYC project. Addison-Wesley.Google Scholar

Copyright information

© Kluwer Academic Publishers, Boston 1989

Authors and Affiliations

  • Douglas B. Lenat
    • 1
  1. 1.MCCAustinUSA

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