An Evaluation of Two Alternatives to Minimax

نویسندگان

  • Dana S. Nau
  • Paul Walton Purdom
  • Chun-Hung Tzeng
چکیده

In the field of Artificial Intelligence, traditional approaches . to choosing moves In games involve the use of the minimax algo­ rithm. However, recent research results indi­ cate that minimaxing may not always be the best approach. In this paper we summarize the results of some measurements on several model games with several different evaluation functions. These measurements, which are presented in detail in [NPT], show that there are some new algorithms that can make significantly better use of evaluation function values than the minimax algorithm does.

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تاریخ انتشار 1985