Co-evolution for cooperative behavior acquisition in a multiple mobile robot environment

被引：0

作者：

Uchibe, E ^{[1
]}

Nakamura, M ^{[1
]}

Asada, M ^{[1
]}

机构：

[1] Osaka Univ, Grad Sch Engn, Dept Adapt Machine Syst, Suita, Osaka 5650871, Japan

来源：

1998 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS - PROCEEDINGS, VOLS 1-3: INNOVATIONS IN THEORY, PRACTICE AND APPLICATIONS | 1998年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Go-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors through co-evolutionary processes. As an example task, a simplified soccer game with three learning robots is selected and a genetic programming method is applied to individual population corresponding to each robot so as to obtain cooperative and competitive behaviors. The complexity of the problem can be explained twofold: co-evolution for cooperative behaviors needs exact synchronization of mutual evolutions, and three robot co-evolution requires well-complicated environment setups that may gradually change from simpler to more complicated situations. Simulation results are shown, and a discussion is given.

引用

页码：425 / 430

页数：6