Dynamics of multi-agent systems by RasID learning

Hironobu Katagiri, Kotaro Hirasawa, Takayuki Furuzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new model and learning method for controlling multi-agent systems that are composed of plural agents are presented. Since it is not possible to use the gradient method, the RasID learning method is employed. Simulation results show that the above model and method are effective for controlling the dynamics of the multi-agent systems because desired dynamics can be easily obtained by training fuzzy parameters.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume3
Publication statusPublished - 1999
Externally publishedYes
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15

Other

Other1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
CityTokyo, Jpn
Period99/10/1299/10/15

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Katagiri, H., Hirasawa, K., & Furuzuki, T. (1999). Dynamics of multi-agent systems by RasID learning. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 3)