Uncertainty in Artificial Intelligence
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A Constraint Propagation Approach to Probabilistic Reasoning
Judea Pearl
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.
Keywords: Constraint-Propagation, Probabilistic Reasoning
Pages: 31-42
PS Link:
PDF Link: /papers/85/p31-pearl.pdf
AUTHOR = "Judea Pearl ",
TITLE = "A Constraint Propagation Approach to Probabilistic Reasoning",
BOOKTITLE = "Proceedings of the First Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-85)",
ADDRESS = "Corvallis, Oregon",
YEAR = "1985",
PAGES = "31--42"

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