The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
—“Autonomic systems” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing...
In this paper we investigate distributed computation in dynamic networks in which the network topology changes from round to round. We consider a worst-case model in which the com...
We consider a multiagent system whose task is to aid componentcentered design by collaborative designers in a supply chain. In the earlier work, collaborative design networks are ...
New insights have been gained recently into the interplay between complex network architectures and the collective dynamics of simple elements coupled through them. The usual parad...