• DocumentCode
    2910060
  • Title

    The importance of a piece difference feature to Blondie24

  • Author

    Al-Khateeb, Belal ; Kendall, Graham

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK
  • fYear
    2010
  • fDate
    8-10 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In recent years, significant research attention has been paid to evolving self-learning checkers players. Fogel´s Blondie24 has been very successful in this field and has inspired other researchers to further develop this area. In this paper we address the question of whether piece difference is an important factor in the Blondie24 architecture. Although this issue has been addressed before, this work provides a different experimental setup to previous work, but arrives at the same conclusion. Our experiments show that piece difference has a significant effect on learning abilities.
  • Keywords
    computer games; unsupervised learning; Blondie24; Blondie24 architecture; piece difference feature; self learning checkers players; Artificial neural networks; Computers; Games; Humans; Learning; Machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence (UKCI), 2010 UK Workshop on
  • Conference_Location
    Colchester
  • Print_ISBN
    978-1-4244-8774-5
  • Electronic_ISBN
    978-1-4244-8773-8
  • Type

    conf

  • DOI
    10.1109/UKCI.2010.5625582
  • Filename
    5625582