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Heuristics as Invariants and its Application to Learning

  • Richard E. Korf
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 12)

Abstract

We present a characterization of heuristic static evaluation functions which unifies their treatment in single-agent problems and two-person games. The central thesis is that a useful heuristic function is one which is invariant along a solution path. This local characterization of heuristics can be used to predict the effectiveness of given heuristics and to automatically learn useful heuristic functions for problems.

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Copyright information

© Kluwer Academic Publishers 1986

Authors and Affiliations

  • Richard E. Korf
    • 1
  1. 1.Computer Science DepartmentUniversity of CaliforniaLos AngelesUSA

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