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On the Automated Discovery of Scientific Theories

  • Daniel Osherson
  • Scott Weinstein
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  • 260 Downloads
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 195)

Abstract

This paper summarizes recent research results on applications of computational learning theory to problems involving rich systems of knowledge representation, in particular, first-order logic and extensions thereof.

Keywords

Truth Detection Inductive Inference Discovery Problem Approximate Truth Computational Learning Theory 
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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Copyright information

© Kluwer Academic Publishers 1993

Authors and Affiliations

  • Daniel Osherson
    • 1
  • Scott Weinstein
    • 2
  1. 1.IDIAPMartignySwitzerland
  2. 2.University of PennsylvaniaUSA

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