A Constraint Propagation Approach to Probabilistic Reasoning
arXiv:1304.3422
Abstract
The paper demonstrates that strict adherence to probability theory does not preclude the use of concurrent, self-activated constraint-propagation mechanisms for managing uncertainty. Maintaining local records of sources-of-belief allows both predictive and diagnostic inferences to be activated simultaneously and propagate harmoniously towards a stable equilibrium.
Appears in Proceedings of the First Conference on Uncertainty in Artificial Intelligence (UAI1985)