Learning Implicit Resource Relationships from Past Plans in Multi-Agent Systems

Toshiharu Sugawara, Satoshi Kurihara, Osamu Akashi

Research output: Contribution to conferencePaper

Abstract

The storage and analysis of the hierarchical planning results in the past to identify implicit costs and resource relationships between activities in multi-agent systems are discussed. To realize effective activities of agents, coordination and cooperation is essential in multi-agent systems. The used plans are retained with costs, time, used resources, conflicts among agents and the environments. The observed data for each primitive task sequence which indicates performance of tasks such as execution time and the period and amount of resource usage is compared.

Original languageEnglish
Pages1130-1131
Number of pages2
Publication statusPublished - 2003 Dec 1
Externally publishedYes
EventProceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03 - Melbourne, Vic., Australia
Duration: 2003 Jul 142003 Jul 18

Conference

ConferenceProceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03
CountryAustralia
CityMelbourne, Vic.
Period03/7/1403/7/18

Keywords

  • Coordination
  • Learning
  • Multi-agent systems
  • Planning
  • Reuse

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Sugawara, T., Kurihara, S., & Akashi, O. (2003). Learning Implicit Resource Relationships from Past Plans in Multi-Agent Systems. 1130-1131. Paper presented at Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03, Melbourne, Vic., Australia.