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