Attaining Human-Competitive Game Playing with Genetic Programming

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 paper 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.

• Type: Conference
• Year: 2006
• Where: ACRI
• Authors: Moshe Sipper
• Keywords: ACRI 2006, Game Players, Genetic Programming, Programming Game