Discovery and sharing of knowledge with self-organized agents

This paper describes a system, which has the capability to analyze and discover knowledge gathered from distributed sources. This autonomous system is implemented using the growing self organizing map (GSOM), which is a dynamic version of the self organizing map (SOM) and a multi agent communication system. The important contribution of this model is its ability to transfer local knowledge to a central knowledge base referred to as a central controller where the data is clustered and analyzed to identify similarities and variations. The central controller has the capability of transferring back its global knowledge to the distributed sources.