• DocumentCode
    1557259
  • Title

    Evolved to Win (Sipper, M.; 2011) [Book Review]

  • Author

    Gustafson, Steven

  • Author_Institution
    GE Global Research, USA
  • Volume
    7
  • Issue
    3
  • fYear
    2012
  • Firstpage
    62
  • Lastpage
    64
  • Abstract
    This book contains 12 chapters, of which 8 are descriptions of how the author used genetic programming to solve different games. In order, the games Prof. Sipper describes are lose checkers, chess end games, search algorithms for regular chess, backgammon, simulated Robocode,simulated racing cars, the puzzle Rush Hour, and the puzzle FreeCell. Each chapter, and one additional detailed chapter for lose checkers, gives a comprehensive description on how the author solved the game using genetic programming. The reader can get a good understanding of the work and approach used to solve the game before delving deeper into the original conference and journal papers published by the author for more rigorous descriptions and empirical results.
  • Keywords
    Artificial intelligence; Artificial neural networks; Book reviews; Game theory; Games; Genetic programming; Neural networks;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2012.2200629
  • Filename
    6238497