Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
: Technology to support groups is rapidly growing in use and in its impact on us, our organizations, and society. Some very important trends are only now being identified, as use o...
Abstract-- In this paper we present the communication architecture of the DALI Logic Programming Agent-Oriented language and we discuss its semantics. We have designed a meta-level...
Although they focus on the big picture, high level supply chain models cannot gloss over the capacity of production nodes to meet production allocations. Capacity is not simply a ...