We present a version of the CCP paradigm, which is both distributed and probabilistic. We consider networks with a fixed number of nodes, each of them possessing a local and indep...
Abstract. In this paper, we introduce weak bisimulation in the framework of Labeled Concurrent Markov Chains, that is, probabilistic transition systems which exhibit both probabili...
This paper describes a probabilistic approach to state space search. The presented method applies a ranking of the design states according to their probability of reaching a given...
Andreas Kuehlmann, Kenneth L. McMillan, Robert K. ...
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
MostAI representations and algorithms for plan generation havenot included the concept of informationproducingactions (also called diagnostics, or tests, in the decision making li...