Optimal strategy in games with chance nodes

In this paper, games with chance nodes are analysed. The evaluation of these game trees uses the expectiminimax algorithm. We present pruning techniques involving random effects. The gamma-pruning aims at increasing the efficiency of expectiminimax (analogously to alpha-beta pruning and the classica...

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Bibliographic Details
Main Authors: Melkó Ervin
Nagy Benedek
Corporate Author: Symposium of Young Scientists on Intelligent Systems (1.) (2006) (Budapest)
Format: Article
Published: 2007
Series:Acta cybernetica 18 No. 2
Kulcsszavak:Számítástechnika, Kibernetika
Subjects:
Online Access:http://acta.bibl.u-szeged.hu/12810
Description
Summary:In this paper, games with chance nodes are analysed. The evaluation of these game trees uses the expectiminimax algorithm. We present pruning techniques involving random effects. The gamma-pruning aims at increasing the efficiency of expectiminimax (analogously to alpha-beta pruning and the classical minimax). Some interesting properties of these games are shown: for instance, a game without draw can be fair. A fair game may not be fair any more if it is played iteratively. To handle these phenomena, the use of additional indicators, such as the minimal guaranteed outcome value, is suggested.
Physical Description:171-192
ISSN:0324-721X