Evolutionary Methodologies in Game Environments

被引：0
|
作者：
Boudreaux, Hollie [1 ]
Etheredge, Jim [2 ]
Kumar, Ashok [2 ]
机构：
[1] Univ Louisiana Lafayette, Ctr Adv Comp Studies, POB 41771, Lafayette, LA 70504 USA
[2] Univ Louisiana Lafayette, Dept Comp Sci, Lafayette, LA 70504 USA
来源：
3RD ANNUAL INTERNATIONAL CONFERENCE ON COMPUTER GAMES, MULTIMEDIA & ALLIED TECHNOLOGIES (CGAT 2010) | 2010年
关键词：
Artificial intelligence; genetic algorithms; genetic programming; neural networks; intelligent agents; agent behavior;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents evolutionary techniques used to guide the actions of NPCs in game environments. The paper will describe the mechanics of genetic algorithms (GA) and genetic programming (GP) and illustrate their application with examples from the current literature. The discrete and dynamic game environment categories are discussed and examples of each provided. In addition, approaches that combine evolutionary techniques with other artificial intelligence techniques to leverage the strengths of both will be discussed and example applications presented.
引用
收藏
页码：312 / 318
页数：7
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