Abstract
In recent years multi-agent systems have demonstrated the power to handle complex real-time scheduling problems. They have also been used to integrate distributed information to provide access to heterogeneous data sources. Combining these two approaches to produce a multi-agent system that can use distributed heterogeneous data for real-time scheduling is a challenging problem. In this paper we introduce the concept of a generic model, which can then be used to develop multi-agent systems with these capabilities. We suggest that a model of this type can lead to improvements in scheduling performance and make multi-agent systems applicable to a range of new problem domains.
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Bloodsworth, P., Greenwood, S., Nealon, J. (2003). A Generic Model for Distributed Real-Time Scheduling Based on Dynamic Heterogeneous Data. In: Lee, J., Barley, M. (eds) Intelligent Agents and Multi-Agent Systems. PRIMA 2003. Lecture Notes in Computer Science(), vol 2891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39896-7_10
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DOI: https://doi.org/10.1007/978-3-540-39896-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20460-2
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