Automated hypothesis generation using extended inductive resolution

  • Authors:
  • Charles O. Morgan

  • Affiliations:
  • Department of Philosophy, University of Alberta, Edmonton, Alberta, Canada

  • Venue:
  • IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1975

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Abstract

We report on a method of automated hypothesis generation, called f-resolution, which is derived from deductive resolution techniques. The method is inductive in character, in the sense that given input statement E, it generates hypotheses H, such that E is a deductive consequence of E. The method is extended by a generalized unification algorithm which introduces appropriate identity assumptions needed to unify a pair of literals. The f-resolution technique is shown to embody a version of Ockham's raror as a pruning heuristic. Some promising experimental results are also presented.