Evolving board-game players with genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Amit Benbassat and Moshe Sipper",
  title =        "Evolving board-game players with genetic programming",
  booktitle =    "GECCO 2011 Graduate students workshop",
  year =         "2011",
  editor =       "Miguel Nicolau",
  isbn13 =       "978-1-4503-0690-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "739--742",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001858.2002080",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "We present the application of genetic programming (GP)
                 to zero-sum, deterministic, full-knowledge board games.
                 Our work expands previous results in evolving
                 board-state evaluation functions for Lose Checkers to a
                 10x10 variant of Checkers, as well as Reversi. Our
                 system implements strongly typed GP trees, explicitly
                 defined introns, and a selective directional crossover
  notes =        "Also known as \cite{2002080} Distributed on CD-ROM at

                 ACM Order Number 910112.",

Genetic Programming entries for Amit Benbassat Moshe Sipper