Comparing optimization methods for wagame AI strategies

被引：0

作者：

Rushing, John ^{[1
]}

Tanner, Steve ^{[1
]}

Tiller, John

机构：

[1] Univ Alabama, Informat Technol & Syst Ctr, Huntsville, AL 35899 USA

来源：

GAMEON-NA 2006: 3RD INTERNATIONAL NORTH-AMERICAN CONFERENCE ON INTELLIGENT GAMES AND SIMULATION | 2007年

关键词：

optimization; artificial intelligence; strategic game; genetic algorithms;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the use of Genetic Algorithms for developing new and interesting tactics for use by an AI planning system. It also describes how GAs are used to find flaws and loopholes in the game that players my use to game the system. The game used as ail example here is Squad Battles, a commercial game developed by John Tiller software with AI developed in part by John Rushing at UAH.

引用

页码：90 / 93

页数：4

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