Uncertainty in Artificial Intelligence
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Representing Bayesian Networks within Probabilistic Horn Abduction
David Poole
Abstract:
This paper presents a simple framework for Horn clause abduction, with probabilities associated with hypotheses. It is shown how this representation can represent any probabilistic knowledge representable in a Bayesian belief network. The main contributions are in finding a relationship between logical and probabilistic notions of evidential reasoning. This can be used as a basis for a new way to implement Bayesian Networks that allows for approximations to the value of the posterior probabilities, and also points to a way that Bayesian networks can be extended beyond a propositional language.
Keywords:
Pages: 271-278
PS Link:
PDF Link: /papers/91/p271-poole.pdf
BibTex:
@INPROCEEDINGS{Poole91,
AUTHOR = "David Poole ",
TITLE = "Representing Bayesian Networks within Probabilistic Horn Abduction",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "271--278"
}


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