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

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

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

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
Pages601-608
Number of pages8
DOIs
Publication statusPublished - 2006
EventFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
Duration: 2006 May 82006 May 12

Publication series

NameProceedings of the International Conference on Autonomous Agents
Volume2006

Conference

ConferenceFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
CountryJapan
CityHakodate
Period06/5/806/5/12

Keywords

  • Collaboration
  • Coordination
  • Load-balancing
  • Multi-agent sim ulation
  • Organization

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Sugawara, T., Kurihara, S., Hirotsu, T., Fukuda, K., Sato, S., & Akashi, O. (2006). Total performance by local agent selection strategies in multi-agent systems. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 601-608). (Proceedings of the International Conference on Autonomous Agents; Vol. 2006). https://doi.org/10.1145/1160633.1160741