In this paper, we describe a nature-inspired optimization algorithm based on bee foraging behavior. This algorithm combines the high performance of bee path-integration navigation...
Research on organization of Multi-Agent Systems (M.A.S.) has shown that by adapting its organization, a M.A.S. is better able to operate in dynamic environments. In this paper we ...
Mattijs Ghijsen, Wouter N. H. Jansweijer, Bob J. W...
We describe a general mechanism for adaptation in multiagent systems in which agents modify their behavior based on their memory of past events. These behavior changes can be elic...
Current IT application domains such as web services and autonomic computing call for highly flexible systems, able to automatically adapt to changing operational environments as w...
Loris Penserini, Anna Perini, Angelo Susi, John My...
A multi-agent marketplace, MAGNET (Multi AGent Negotiation Testbed), is a promising solution to conduct online combinatorial auctions. The trust model of MAGNET is somewhat diffe...