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Designing an Evolutionary Strategizing Machine for Game Playing and Beyond

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4 Author(s)
Sipper, M. ; Ben-Gurion Univ., Beer-Sheva ; Azaria, Y. ; Hauptman, A. ; Shichel, Y.

We have 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 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.

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Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on  (Volume:37 ,  Issue: 4 )