Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling
<|reference_start|>Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling: 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.<|reference_end|>
@article{messie2005cooperative,
    title={Cooperative Game Theory within Multi-Agent Systems for Systems
  Scheduling},
    author={Derek Messie (Syracuse University) and Jae C. Oh (Syracuse University)},
    journal={arXiv preprint arXiv:cs/0504108},
    year={2005},
    archivePrefix={arXiv},
    eprint={cs/0504108},
    primaryClass={cs.AI cs.MA}
}