Uncertainty in Artificial Intelligence
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A Constraint - Propagation Approach to Probabilistic Reasoning
Judea Pearl
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.
Keywords: Constraint-Propagation, Probabilistic Reasoning
Pages: 357-369
PS Link:
PDF Link: /papers/85/p357-pearl.pdf
BibTex:
@INPROCEEDINGS{Pearl85,
AUTHOR = "Judea Pearl ",
TITLE = "A Constraint - Propagation Approach to Probabilistic Reasoning",
BOOKTITLE = "Uncertainty in Artificial Intelligence Annual Conference on Uncertainty in Artificial Intelligence (UAI-85)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1985",
PAGES = "357--369"
}


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