Yenta: a multi-agent, referral-based matchmaking system
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Coordinated Learning to Support Resource Management in Computational Grids
P2P '02 Proceedings of the Second International Conference on Peer-to-Peer Computing
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Matchmaking for information agents
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Locating suitable resources within a Grid is a computationally intensive process, with no guarantee of quality and suitability of the discovered resources. An alternative approach is a middleware to categorize resources based on the services they provide - leading to the interaction of peers with common goals to form societies/communities. The middleware organizing resources in different communities is suggested to be useful for efficient resource discovery. The communities can be adaptive in nature and evolve based on changes in their operating environment -- such as changes in neighboring communities and user requirements. We have implemented JXTA prototype to illustrate the concepts of community formation in which Peers offering different services can be grouped together based on different criteria.