Distributed Clustering for Group Formation and Task Allocation

Most clustering methods rely on central data structures and/or cannot cope with dynamically changing settings. However, issues related to the current use of Internet resources (distribution of data, privacy, etc. ) require new ways of dealing with data clustering. Inmultiagent systems this is also becoming an issue as one wishesto group agents in an efficient way and according to some featuresof the environment. In this paper we briefly discuss how a distributed clustering algorithm that is inspired by swarm intelligencetechniques is used in problems of task allocation.

Authors

• Daniela Santos
• Ana Bazzan

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