THE MULTIPLAYER VERSION OF MINIMAX DISPLAYS GAME-TREE PATHOLOGY

被引:0
作者
MUTCHLER, D
机构
来源
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 1991年 / 542卷
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is widely believed that by searching deeper in the game tree, the decision-maker is more likely to make a better decision. Dana Nau and others have discovered pathology theorems that show the opposite: searching deeper in the game tree causes the quality of the ultimate decision to become worse, not better. The models for these theorems assume that the search procedure is minimax and the games are two-player zero-sum. This report extends Nau's pathology theorem to multi-player game trees searched with max(n), the multi-player version of minimax. Thus two-player zero-sum game trees and multi-player game trees are shown to have an important feature in common.
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页码:62 / 71
页数:10
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