Distributed clustering for group formation and task allocation
Daniela Scherer dos Santos, Ana L. C. Bazzan · Adaptive Agents and Multi-Agents Systems · 2010
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. In multiagent systems this is also becoming an issue as one wishes to group agents in an efficien way and according to some features of the environment. In this paper we briefl discuss how a distributed clustering algorithm that is inspired by swarm intelligence techniques is used in problems of task allocation.