• DocumentCode
    2715921
  • Title

    Computer Strategies for Solitaire Yahtzee

  • Author

    Glenn, James R.

  • Author_Institution
    Dept. of Comput. Sci., Loyola Coll.
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    132
  • Lastpage
    139
  • Abstract
    Solitaire Yahtzee has been solved completely. However, the optimal strategy is not one a human could practically use, and for computer play it requires either a very large database or significant CPU time. We present some refinements to the techniques used to solve solitaire Yahtzee and give a method for analyzing other solitaire strategies and give some examples of this analysis for some non-optimal strategies, including some produced by evolutionary algorithms
  • Keywords
    evolutionary computation; game theory; computer game; computer strategies; evolutionary algorithm; evolutionary computation; nondeterministic games; nonoptimal strategies; retrograde analysis; solitaire Yahtzee; Algorithm design and analysis; Bipartite graph; Computational intelligence; Computer science; Databases; Educational institutions; Evolutionary computation; Humans; Refining; computer games; evolutionary computation; non-deterministic games; retrograde analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0709-5
  • Type

    conf

  • DOI
    10.1109/CIG.2007.368089
  • Filename
    4219034