• DocumentCode
    3546969
  • Title

    Exploration and analysis of the evolution of strategies for Mancala variants

  • Author

    Divilly, Colin ; O´Riordan, Colm ; Hill, Shawndra

  • Author_Institution
    Discipline Inf. Technol., Nat. Univ. of Ireland, Galway, Ireland
  • fYear
    2013
  • fDate
    11-13 Aug. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper describes approaches to evolving strategies for Mancala variants. The results are compared and the robustness of both the strategies and heuristics across variants of Mancala is analysed. The aim of this research is to evaluate the performance of a collection of heuristics across a selection of Mancala games. The performance of the individual heuristics can be evaluated on games with varying rules regarding capture rules, varying number of pits per row and for different seeds per pit at the start of the game.
  • Keywords
    game theory; Mancala games; Mancala variants; capture rules; pit number; strategy evolution; Clocks; Complexity theory; Games; Genetic algorithms; Knowledge representation; Lungs; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Games (CIG), 2013 IEEE Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    2325-4270
  • Print_ISBN
    978-1-4673-5308-3
  • Type

    conf

  • DOI
    10.1109/CIG.2013.6633628
  • Filename
    6633628