✦ LIBER ✦
Explanation of probabilistic inference for decision support systems : Christopher Elsaesser MITRE Washington Artificial Intelligence Center and Department of Engineering and Public Policy, Carnegie-Mellon University, Pittsburgh, Pennsylvania 15213
- Publisher
- Elsevier Science
- Year
- 1988
- Tongue
- English
- Weight
- 54 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0888-613X
No coin nor oath required. For personal study only.
✦ Synopsis
An inductive logic can be formulated in which the elements are not propositions or probability distributions, but information systems. The logic is complete for information systems with binary hypotheses, that is, it applies to all such systems. It is not complete for information systems with more than two hypotheses but applies to a subset of such systems. The logic is inductive in that conclusions are more informative than premises. Inferences using the formalism have a strong justification in terms of the expected value of the derived information system.