Adaptive agent selection in large-scale multi-agent systems

Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin Ya Sato, Satoshi Kurihara

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

An agent in a multi-agent system (MAS) has to select appropriate agents to assign tasks. Unfortunately no agent in an open environment can identify the states of all agents, so this selection must be done according to local information about the other known agents; however this information is limited and may contain uncertainty. In this paper we investigate how overall performance of MAS is affected by learning parameters for adaptive strategies to select partner agent for collaboration. We show experimental results using simulation and discuss why overall performance of MAS varies.

本文言語English
ホスト出版物のタイトルPRICAI 2006
ホスト出版物のサブタイトルTrends in Artificial Intelligence - 9th Pacific Rim International Conference on Artificial Intelligence, Proceedings
出版社Springer Verlag
ページ818-822
ページ数5
ISBN(印刷版)3540366679, 9783540366676
DOI
出版ステータスPublished - 2006
外部発表はい
イベント9th Pacific Rim International Conference on Artificial Intelligence - Guilin, China
継続期間: 2006 8 72006 8 11

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4099 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other9th Pacific Rim International Conference on Artificial Intelligence
国/地域China
CityGuilin
Period06/8/706/8/11

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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