ML Anthology

Implementing Probabilistic Reasoning

Matthew L. Ginsberg
UAI 1985 pp. 331-338
doi:10.1016/B978-0-444-70058-2.50028-0 /uai/1985/ginsberg1985uai-implementing/

Abstract

General problems in analyzing information in a probabilistic database are considered. The practical difficulties (and occasional advantages) of storing uncertain data, of using it conventional forward- or backward-chaining inference engines, and of working with a probabilistic version of resolution are discussed. The background for this paper is the incorporation of uncertain reasoning facilities in MRS, a general-purpose expert system building tool.

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Text

Ginsberg. "Implementing Probabilistic Reasoning." Conference on Uncertainty in Artificial Intelligence, 1985. doi:10.1016/B978-0-444-70058-2.50028-0

Markdown

[Ginsberg. "Implementing Probabilistic Reasoning." Conference on Uncertainty in Artificial Intelligence, 1985.](https://mlanthology.org/uai/1985/ginsberg1985uai-implementing/) doi:10.1016/B978-0-444-70058-2.50028-0

BibTeX

@inproceedings{ginsberg1985uai-implementing,
  title     = {{Implementing Probabilistic Reasoning}},
  author    = {Ginsberg, Matthew L.},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1985},
  pages     = {331-338},
  doi       = {10.1016/B978-0-444-70058-2.50028-0},
  url       = {https://mlanthology.org/uai/1985/ginsberg1985uai-implementing/}
}