Multi-agent Systems and Distributed Data Mining

Multi-agent systems offer an architecture for distributed problem solving. Distributed data mining algorithms specialize on one class of such distributed problem solving tasks-analysis and modeling of distributed data. This paper offers a perspective on distributed data mining algorithms in the context of multiagents systems. It particularly focuses on distributed clustering algorithms and their potential applications in multi-agent-based problem solving scenarios. It discusses potential applications in the sensor network domain, reviews some of the existing techniques, and identifies future possibilities in combining multi-agent systems with the distributed data mining technology.