Representing Bayesian Networks Within Probabilistic Horn Abduction
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.
Cite
Text
Poole. "Representing Bayesian Networks Within Probabilistic Horn Abduction." Conference on Uncertainty in Artificial Intelligence, 1991.Markdown
[Poole. "Representing Bayesian Networks Within Probabilistic Horn Abduction." Conference on Uncertainty in Artificial Intelligence, 1991.](https://mlanthology.org/uai/1991/poole1991uai-representing/)BibTeX
@inproceedings{poole1991uai-representing,
title = {{Representing Bayesian Networks Within Probabilistic Horn Abduction}},
author = {Poole, David L.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1991},
url = {https://mlanthology.org/uai/1991/poole1991uai-representing/}
}