Implementing Probabilistic Reasoning
Artificial Intelligence
2013-04-15 v1
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.
Cite
@article{arxiv.1304.3428,
title = {Implementing Probabilistic Reasoning},
author = {Matthew L. Ginsberg},
journal= {arXiv preprint arXiv:1304.3428},
year = {2013}
}
Comments
Appears in Proceedings of the First Conference on Uncertainty in Artificial Intelligence (UAI1985)