—“Autonomic systems” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing...
The emerging ”Computational Grid” infrastructure poses many new opportunities for the developing science of large scale multiagent simulation. The ability to migrate agent expe...
Les Gasser, Kelvin Kakugawa, Brant Chee, Marc Este...
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Personalized ranking systems and trust systems are an essential tool for collaboration in a multi-agent environment. In these systems, trust relations between many agents are aggr...