公地博弈规则设计的进化计算

2007 IEEE Symposium on Computational Intelligence and Games Pub Date : 2007-04-01 DOI:10.1109/CIG.2007.368117

H. Handa, N. Baba

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引用次数: 2

摘要

在本文中，我们主要通过两种进化计算来研究游戏规则的设计。第一种EC是一种多目标进化算法，目的是生成不同的熟练玩家。通过使用获得的熟练玩家，即MOEA中的帕累托个体，另一个EC(进化编程)调整游戏规则参数，即公共游戏中每张卡牌的适当点

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evolutionary Computations for Designing Game Rules of the COMMONS GAME

In this paper, we focus on game rule design by using two evolutionary computations. The first EC is a multi-objective evolutionary algorithm in order to generate various skilled players. By using acquired skilled players, i.e., Pareto individuals in MOEA, another EC (evolutionary programming) adjusts game rule parameters i.e, an appropriate point of each card in the COMMONS GAME

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2007 IEEE Symposium on Computational Intelligence and Games

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