• DocumentCode
    1841379
  • Title

    Improving a case-based texas hold´em poker bot

  • Author

    Watson, Ian ; Lee, Song ; Rubin, Jonathan ; Wender, Stefan

  • Author_Institution
    Dept of Comput. Sci., Univ. of Auckland, Auckland
  • fYear
    2008
  • fDate
    15-18 Dec. 2008
  • Firstpage
    350
  • Lastpage
    356
  • Abstract
    This paper describes recent research that aims to improve upon our use of case-based reasoning in Texas hold´em poker bot called CASPER. CASPER uses knowledge of previous poker scenarios to inform its betting decisions. CASPER improves upon previous case-based reasoning approaches to poker and is able to play evenly against the University of Alberta´s Pokibots and Simbots, from which it initially acquired its case-bases and updates previously published research by showing that CASPER plays profitably against human online competitors for play money. The new research described here shows how CASPER has improved its play against human players by remembering and reusing its own game play history.
  • Keywords
    case-based reasoning; computer games; CASPER; case-based reasoning; texas holdem poker bot; Artificial intelligence; Hardware; Heuristic algorithms; History; Humans; Knowledge based systems; Robots; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-1-4244-2973-8
  • Electronic_ISBN
    978-1-4244-2974-5
  • Type

    conf

  • DOI
    10.1109/CIG.2008.5035661
  • Filename
    5035661