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/b978-0-444-70058-2.50031-0

Markdown

[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/b978-0-444-70058-2.50031-0

BibTeX

@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/}
}