Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Abstract

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

Cite

Text

Pearl. "Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference." Morgan Kaufmann, 1988. doi:10.1016/c2009-0-27609-4

Markdown

[Pearl. "Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference." Morgan Kaufmann, 1988.](https://mlanthology.org/misc/1988/pearl1988misc-probabilistic/) doi:10.1016/c2009-0-27609-4

BibTeX

@misc{pearl1988misc-probabilistic,
  title     = {{Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference}},
  author    = {Pearl, Judea},
  howpublished = {Morgan Kaufmann},
  year      = {1988},
  doi       = {10.1016/c2009-0-27609-4},
  url       = {https://mlanthology.org/misc/1988/pearl1988misc-probabilistic/}
}