Evolving Neural NPCs with Layered Influence Map in the Real-time Simulation Game 'Conqueror'

被引：11
|
作者：
Jang, Su-Hyung [1 ]
Cho, Sung-Bae [1 ]
机构：
[1] Yonsei Univ, Dept Comp Sci, Seoul 120749, South Korea
来源：
2008 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND GAMES | 2008年
关键词：
D O I：
10.1109/CIG.2008.5035666
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
AI in computer games has been highlighted recently and the importance of game platforms that support the investigation of various kinds of AI techniques increases. In this paper, we developed a real-time simulation game called 'Conqueror' for providing with a better AI game platform to many AI researchers and applied it to produce a neural NPCs with layered influence maps. The layered influence map algorithm is used to analyze the situation in terms of distribution of influences between friends and enemies, while the neural network is adopted as a basic representation of the NPC. The experiment has been conducted with various factors and verified the usefulness of the proposed game platform.
引用
收藏
页码：385 / +
页数：2
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