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A Least-Certainty Heuristic for Selective Search

  • Paul E. Utgoff
  • Richard P. Cochran
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2063)

Abstract

We present a new algorithm for selective search by iterative expansion of leaf nodes. The algorithm reasons with leaf evaluations in a way that leads to high confidence in the choice of move at the root. Performance of the algorithm is measured under a variety of conditions, as compared to minimax with α/ß pruning, and to best-first minimax.

Keywords

Selective search evaluation function error misordering assumption certainty confidence swing evaluation goal swing threshold LCF random trees artificial time Amazons Othello 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Paul E. Utgoff
    • 1
  • Richard P. Cochran
  1. 1.Department of Computer ScienceUniversity of MassachusettsAmherst

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