Abstract
Results on a practical method for exploiting weakness in the play of an opponent in two-person zero-sum games are reported. Finite-state machines obtained by an evolutionary process are used to determine the move against a nonminimax opponent and achieve average payoffs significantly better than the value of the game.

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