Attaining Human–Competitive Game Playing with Genetic Programming

  • M. Sipper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4173)


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.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • M. Sipper
    • 1
  1. 1.Department of Computer ScienceBen–Gurion UniversityBe’er ShevaIsrael

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