Attaining Human-Competitive Game Playing with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  title =        "Attaining Human-Competitive Game Playing with Genetic
  author =       "Moshe Sipper",
  booktitle =    "Proceedings of the 7th International Conference on
                 Cellular Automata, for Research and Industry, {ACRI}",
  publisher =    "Springer",
  year =         "2006",
  volume =       "4173",
  editor =       "Samira {El Yacoubi} and Bastien Chopard and 
                 Stefania Bandini",
  ISBN =         "3-540-40929-7",
  series =       "Lecture Notes in Computer Science",
  pages =        "13",
  address =      "Perpignan, France",
  month =        sep # " 20-23",
  note =         "Invited Lectures",
  bibdate =      "2006-12-04",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/11861201_4",
  size =         "9 lines",
  abstract =     "We have recently shown that genetically programming
                 game players, after having imbued the evolutionary
                 process with human intelligence, produces
                 human-competitive strategies for three games:
                 backgammon, chess endgames, and robocode (tank-fight
                 simulation). Evolved game players are able to hold
                 their own - and often win - against human or
                 human-based competitors. This talk has a twofold
                 objective: first, to review our recent results of
                 applying genetic programming in the domain of games;
                 second, to formulate the merits of genetic programming
                 in acting as a tool for developing strategies in
                 general, and to discuss the possible design of a
                 strategizing machine.",

Genetic Programming entries for Moshe Sipper