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1998
Springer

Pruning Algorithms for Multi-Model Adversary Search

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Pruning Algorithms for Multi-Model Adversary Search
The Multi-model search framework generalizes minimax to allow exploitation of recursive opponent models. In this work we consider adding pruning to the multi-model search. We prove a sufficient condition that enables pruning and describe two pruning algorithms, αβ∗ and αβ∗ 1p. We prove correctness and optimality of the algorithms and provide an experimental study of their pruning power. We show that for opponent models that are not radically different from the player’s strategy, the pruning power of these algorithms is significant.
David Carmel, Shaul Markovitch
Added 21 Dec 2010
Updated 21 Dec 2010
Type Journal
Year 1998
Where AI
Authors David Carmel, Shaul Markovitch
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