作者: Keki B. Irani , Carol A. Luckhardt
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摘要: Two-person, perfect information, constant sum games have been studied in Artificial Intelligence. This paper opens up the issue of playing n-person and proposes a procedure for or non-constant games. It is proved that procedure, maxn, locates an equilibrium point given entire game tree. The minimax 2-person using look ahead finds saddle approximations, while maxn values evaluation function ahead. Maxn further analyzed with respect to some pruning schemes.