Abstract
A framework for deploying and coordinating agents for data mining over a distributed system by using the notion of dynamics between components is presented. The key idea behind the framework is to provide agents with deployment policies for their deployment and coordinations as relations between them and other agents. As a result, a federation of distributed agents can migrate and coordinate over a distributed system in a self-organizing manner. This paper also presents a prototype implementation of the approach and its applications.
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Satoh, I. (2007). Self-organizing Multi-agent Systems for Data Mining. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds) Autonomous Intelligent Systems: Multi-Agents and Data Mining. AIS-ADM 2007. Lecture Notes in Computer Science(), vol 4476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72839-9_14
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DOI: https://doi.org/10.1007/978-3-540-72839-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72838-2
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