Controling contract net protocol by local observation for large-scale multi-agent systems

Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda

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

4 Citations (Scopus)


We describe a new adaptive manager-side control policy for the contract net protocol that uses the capabilities of all agents in a massively multi-agent system (MMAS). Recent advances in Internet services, pervasive computing, and grid computing require sophisticated MAS technologies to effectively use the large amount of invested computing resources. To improve overall performance, tasks must be allocated to appropriate agents, and from this viewpoint, a number of negotiation protocols were proposed in the MAS context. Most assume a small-scale, unbusy environment, however. We previously reported the possibility that, using contract net protocol (CNP), the overall efficiency improved by an adequate control of degree of fluctuation in the awarding phase, when the MMAS is in specific states. In this paper, we propose the method to estimate these specific states from the bid values, which have hitherto not been used effectively. Then the new manager-side policy flexibly and autonomously introduces some degree of fluctuation responsive to the estimated states. We also demonstrate that our proposed CNP policy provides considerably better performance than naive CNP and CNP with inflexible policies, even though our policy does not use global information.

Original languageEnglish
Title of host publicationCooperative Information Agents XII - 12th International Workshop, CIA 2008, Proceedings
PublisherSpringer Verlag
Number of pages15
ISBN (Print)3540858334, 9783540858331
Publication statusPublished - 2008
Externally publishedYes
Event12th International Workshop on Cooperative Information Agents, CIA 2008 - Prague, Czech Republic
Duration: 2008 Sept 102008 Sept 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5180 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other12th International Workshop on Cooperative Information Agents, CIA 2008
Country/TerritoryCzech Republic

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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