• DocumentCode
    1635181
  • Title

    An investigation, using co-evolution, to evolve an Awari player

  • Author

    Davis, James Edward ; Kendall, Graham

  • Author_Institution
    Optimisation & Planning Res. Group, Nottingham Univ., UK
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1408
  • Lastpage
    1413
  • Abstract
    Awari is a two-player game of perfect information, played using 12 "pits" and 48 seeds or stones. The aim is for one player to capture more than half the seeds. In this work we show how an awari player can be evolved using a co-evolutionary approach where computer players play against one another, with the strongest players surviving and being mutated using an evolutionary strategy (ES). The players are represented using a simple evaluation function, representing the current game state, with each term of the function having a weight which is evolved using the ES. The output of the evaluation function is used in a mini-max search. We play the best evolved player against one of the strongest shareware programs (Awale) and are able to defeat the program at three of its four levels of play
  • Keywords
    evolutionary computation; game theory; Awari player; coevolution; computer players; evolutionary strategy; minimax search; shareware programs; two-player game; Artificial intelligence; Artificial neural networks; Bridges; Computer science; Databases; Hardware; History; Internet; Processor scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004449
  • Filename
    1004449