• DocumentCode
    2006079
  • Title

    Adaptation of game AIs using Genetic Algorithm: Keeping variety and suitable strength

  • Author

    Ikeda, Ken-ichi ; Tanaka, Yuichi ; Viennot, Simon ; Quoc, N.H. ; Ueda, Yuzuru

  • Author_Institution
    Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    945
  • Lastpage
    951
  • Abstract
    Advancement of artificial intelligence (AI) technology have made computer game players stronger than any human players in many games. However, it is still difficult to create game Als that have a suitable strength for the average human player, while having various strategies and avoiding unnatural moves. We propose a method for generating "a group of rival Als" which satisfy these requirements by using a Genetic Algorithm. In this paper, this method is applied to Othello game and evaluated through some experiments and questionnaires.
  • Keywords
    artificial intelligence; computer games; genetic algorithms; Othello game; artificial intelligence technology; computer game players; game AI adaptation; genetic algorithm; human players; entertainment; genetic algorithm; natural behavior; variety maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505249
  • Filename
    6505249