Fuzzy Control in the Application of Game AI

被引:7
|
作者
Wu Qingqiang [1 ]
机构
[1] Xiamen Univ, Sch Software, Xiamen 361005, Fujian, Peoples R China
来源
2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL I | 2010年
关键词
Fuzzy Control; Artificial Intelligence; Game AI; Torque Game Engine (TGE);
D O I
10.1109/DICTA.2010.57
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the article, firstly the authors raise the point that the human beings' behaviors have the nature of fuzzy which the Game AI needs to simulate to make the game interesting and to increase the game players' experiences, so as to explain the necessity of introducing fuzzy control into the Game AI. Then a fuzzy control model is proposed, in which the game AI's perceptions in the game world act as the input of fuzzy control so as to enable the Game AI to decide its own behavior in the world of games based on the fuzzy policy of the fuzzy control model, and the behavior has the nature of fuzzy of human beings'. After that, the Torque Game Engine is used to code a simplified fuzzy control model, and the direction of follow-up study is suggested in the end.
引用
收藏
页码:288 / 291
页数:4
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