Cooperative game theory within multi-agent systems for systems scheduling

Derek Messie, Jae C. Oh

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

3 Scopus citations

Abstract

Research concerning organization and coordination within multi-agent systems continues to draw from a variety of architectures and methodologies. The work presented in this paper combines techniques from game theory and multi-agent systems to produce self-organizing, polymorphic, lightweight, embedded agents for systems scheduling within a large-scale real-time systems environment. Results show how this approach is used to experimentally produce optimum real-time scheduling through the emergent behavior of thousands of agents. These results are obtained using a SWARM simulation of systems scheduling within a High Energy Physics experiment consisting of 2500 digital signal processors.

Original languageEnglish (US)
Title of host publicationProceedings - HIS'04
Subtitle of host publication4th International Conference on Hybrid Intelligent Systems
EditorsM. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D.M. Corne, A. Abraham
Pages166-171
Number of pages6
StatePublished - Dec 9 2005
EventProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems - Kitakyushu, Japan
Duration: Dec 5 2004Dec 8 2004

Publication series

NameProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems

Other

OtherProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
CountryJapan
CityKitakyushu
Period12/5/0412/8/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Messie, D., & Oh, J. C. (2005). Cooperative game theory within multi-agent systems for systems scheduling. In M. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D. M. Corne, & A. Abraham (Eds.), Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems (pp. 166-171). (Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems).