UAI 1985
Implementing Probabilistic Reasoning
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.
Authors
Keywords
Context
- Venue
- Conference on Uncertainty in Artificial Intelligence
- Archive span
- 1985-2025
- Indexed papers
- 3717
- Paper id
- 899356176917161656