Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
We present a distributed algorithm for computing equilibria of heterogeneous nonmonotonic multi-context systems (MCS). The algorithm can be parametrized to compute only partial eq...
Minh Dao-Tran, Thomas Eiter, Michael Fink, Thomas ...
This paper deals with iterated belief change and proposes a drastic revision rule that modifies a plausibility ordering of interpretations in such a way that any world where the in...
Salem Benferhat, Didier Dubois, Sylvain Lagrue, Od...
Credal nets generalize Bayesian nets by relaxing the requirement of precision of probabilities. Credal nets are considerably more expressive than Bayesian nets, but this makes bel...
Alessandro Antonucci, Yi Sun, Cassio P. de Campos,...
Over the last year Peer-to-Peer (p2p) implementations have evolved from experimental to sophisticated systems. Mobile agents have a long e-Commerce history dating back to the midd...