Abstract. This paper makes a foundational contribution to the discussions on the very nature of belief change operations. Belief revision and pdate are investigated within an abstr...
Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
A Bayesian treatment of latent directed graph structure for non-iid data is provided where each child datum is sampled with a directed conditional dependence on a single unknown p...
: We concern ourselves with the situation Here we investigate an extension of the basic concept of in which we use the Dempster-Shafer belief structure to a compatibility relation ...