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Fuzzified Tree Search in Real Domain Games

  • Dmitrijs Rutko
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7094)

Abstract

Fuzzified game tree search algorithm is based on the idea that the exact game tree evaluation is not required to find the best move. Therefore, pruning techniques may be applied earlier resulting in faster search and greater performance. Applied to an abstract domain, it outperforms the existing ones such as Alpha-Beta, PVS, Negascout, NegaC*, SSS*/ Dual* and MTD(f). In this paper we present experimental results in real domain games, where the proposed algorithm demonstrated 10 percent performance increase over the existing algorithms.

Keywords

game tree search alpha-beta pruning fuzzified search algorithm performance 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dmitrijs Rutko
    • 1
  1. 1.Faculty of ComputingUniversity of LatviaRigaLatvia

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