Abstract
In this article, we present a design technique that facilitates the work of extracting and defining the tasks scheduling problem for a multiagent system. We also compare a centralized scheduling approach to a decentralized scheduling approach to see the difference in the efficiency of the schedules and the amount of information transmitted between the agents. Our experimental results show that the decentralized approach needs less messages, while being as efficient as the centralized approach.
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Paquet, S., Bernier, N., Chaib-draa, B. (2005). Multiagent Systems Viewed as Distributed Scheduling Systems: Methodology and Experiments. In: Kégl, B., Lapalme, G. (eds) Advances in Artificial Intelligence. Canadian AI 2005. Lecture Notes in Computer Science(), vol 3501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424918_6
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DOI: https://doi.org/10.1007/11424918_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25864-3
Online ISBN: 978-3-540-31952-8
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