ViSe2 is an expert consulting system which employs software agents to manage distributed knowledge sources. These individual software agents solve users' problems either by themselves or via cooperation. The efficiency of cooperation plays a serious role in the systems considered. We have focused on the development of a twin-base approach for agents to model the capabilities of each other, and thus achieve efficient cooperation. The current version of the ViSe2 implementation is an experimental model of an agent-based expert system. We have run some performance tests, and compared with other cooperation approaches in distributed AI. The results received so far indicate that the ViSe2 agents serve their users in an efficient cooperation manner.
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