Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling
摘要
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.
引用
@article{arxiv.cs/0504108,
title = {Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling},
author = {Derek Messie and Jae C. Oh},
journal= {arXiv preprint arXiv:cs/0504108},
year = {2007}
}
备注
Fourth International Conference on Hybrid Intelligent Systems (HIS), Kitakyushu, Japan, December, 2004