Total performance by local agent selection strategies in multi-agent systems

Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Shinya Sato, Osamu Akashi

研究成果: Conference contribution

11 被引用数 (Scopus)

抄録

In order to achieve efficient progress in activities such as e-commerce and e-transactions in an open environment like the Internet, an agent must choose appropriate partner agents for collaboration. However, agents have no global information about the whole multi-agent system (MAS) and the state of the Internet; therefore, they must select the appropriate partners based on local knowledge and local observations. In this paper, using a multi-agent simulation, we discuss how total MAS performances are affected by local decisions when agents select partners to collaborate with. We also investigate how MAS performances change and how network structures between agents shift according to the progress of agents' local learning and observations. We then discuss the relationship between task load and agent network structure. This relates to estabilishing the optimum time when agents should learn about appropriate partners in an actual environment.

本文言語English
ホスト出版物のタイトルProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
ページ601-608
ページ数8
DOI
出版ステータスPublished - 2006
外部発表はい
イベントFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
継続期間: 2006 5 82006 5 12

出版物シリーズ

名前Proceedings of the International Conference on Autonomous Agents
2006

Other

OtherFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
国/地域Japan
CityHakodate
Period06/5/806/5/12

ASJC Scopus subject areas

  • 工学(全般)

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