Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling

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dc.creatorMessie, Derek
dc.creatorOh, Jae C.
dc.date2005-04-29
dc.date.accessioned2026-07-07T03:22:56Z
dc.date.available2026-07-07T03:22:56Z
dc.descriptionResearch 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.
dc.descriptionFourth International Conference on Hybrid Intelligent Systems (HIS), Kitakyushu, Japan, December, 2004
dc.identifierhttps://arxiv.org/abs/cs/0504108
dc.identifierhttp://arxiv.org/abs/cs/0504108
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32747
dc.subjectArtificial Intelligence
dc.subjectMultiagent Systems
dc.titleCooperative Game Theory within Multi-Agent Systems for Systems Scheduling
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