Technical Report CIS9703

Title: Pruning Algorithms for Multi-model Adversary Search
Authors: David Carmel and Shaul Markovitch
Abstract: The Multi-model search framework generalizes minimax to allow exploitation of recursive opponent models. In this work we consider adding pruning to multi-model search. We prove a sufficient condition that enables pruning and describe two pruning algorithms, Alpha-Beta* and Alpha-Beta*-1p. We prove correctness and optimality of the algorithms and provide experimental study of their pruning power. We show that for opponent models that are not radically different than the player's strategy, the pruning power of these algorithms is significant.
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