A Constraint-Propagation Approach to Probabilistic Reasoning
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 simultanously and propagate harmoniously towards a stable equillibrium.
Cite
Text
Pearl. "A Constraint-Propagation Approach to Probabilistic Reasoning." Conference on Uncertainty in Artificial Intelligence, 1985. doi:10.1016/b978-0-444-70058-2.50031-0Markdown
[Pearl. "A Constraint-Propagation Approach to Probabilistic Reasoning." Conference on Uncertainty in Artificial Intelligence, 1985.](https://mlanthology.org/uai/1985/pearl1985uai-constraint/) doi:10.1016/b978-0-444-70058-2.50031-0BibTeX
@inproceedings{pearl1985uai-constraint,
title = {{A Constraint-Propagation Approach to Probabilistic Reasoning}},
author = {Pearl, Judea},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1985},
pages = {357-370},
doi = {10.1016/b978-0-444-70058-2.50031-0},
url = {https://mlanthology.org/uai/1985/pearl1985uai-constraint/}
}