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The autonomous evolution of cooperation activity of micro-robots by genetic algorithms(GAs)

Masanori Sugisaka, Xiaoshu Wang

发表年份
1998
引用次数
2
访问权限
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摘要

Recently the studies concerning the multiple agents control system provoke strong interests in a lot of different research fields such as sensor system, vision procession, learning algorithm and so on. My interest is on whether and how to create a relatively common control mechanism to guide the design of such multiple agents system. In this paper a approach based on the generic algorithms(GAs) for the autonomous evolution of cooperative activities among agents is proposed. Here a micro-robots soccer-playing game such as that of MIROSOT (Micro-robot World Cup Soccer Tournament) is adopted as a standard example for the test of the approach.

关键词

RobotComputer scienceTournamentProcessionGenetic algorithmArtificial intelligenceControl (management)Mechanism (biology)Human–computer interactionSimulation

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