Adaptive Cooperation for Multi Agent Systems Based on Human Social Behavior | Zendy

Hiroshi IGARASHI | Zendy; Yoshinobu Adachi | Zendy; Kazunari Takahashi | Zendy

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Adaptive Cooperation for Multi Agent Systems Based on Human Social Behavior

Author(s) -

Hiroshi IGARASHI,

Yoshinobu Adachi,

Kazunari Takahashi

Publication year - 2012

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2012.p0139

Subject(s) - adaptability , sociality , computer science , task (project management) , multi agent system , adaptive behavior , artificial intelligence , population , robot , human–computer interaction , machine learning , distributed computing , systems engineering , ecology , engineering , psychology , psychiatry , demography , sociology , biology

This paper addresses a new cooperation technique for multi-agent systems. This technique is based on human social behaviour. According to biological knowledge, the population contributes to the preservation of the species and adaptability to environmental variations. Multiple robot cooperation, therefore, has a potential to be flexible and adaptable to various tasks. Furthermore, sociality based on the performance evaluation of other humans is expected to enhance the whole task performance. Finally, adaptability and the total performance of proposed technique are verified by pursuit survey on the multi-agent system.

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