Adaptive manager-side control policy in contract net protocol for massively multi-agent systems

Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda

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

3 Citations (Scopus)

Abstract

We describe a new adaptive manager-side control policy for the contract net protocol for a massively multi-agent system (MMAS). To improve overall performance of MMAS, tasks must be allocated to appropriate agents. From this viewpoint, a number of negotiation protocols were proposed in the MAS context, but most assume a small-scale, unbusy environment. We previously reported that, using contract net protocol (CNP), the overall efficiency could improve by an adequate control of degree of fluctuation in the awarding phase depending on the state of MMAS. In this paper, we propose the method to estimate these states from the bid values, which have hitherto not been used effectively. Then the manager-side policy flexibly and autonomously with some degree of fluctuation responsive to the estimated states is introduced. We also evaluate that our proposed CNP policy.

Original languageEnglish
Title of host publication7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1401-1404
Number of pages4
ISBN (Print)9781605604701
Publication statusPublished - 2008
Externally publishedYes
Event7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008 - Estoril, Portugal
Duration: 2008 May 122008 May 16

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume3
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Other

Other7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008
Country/TerritoryPortugal
CityEstoril
Period08/5/1208/5/16

Keywords

  • Coordination
  • Multi-Agent Simulation
  • Negotiation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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