Probabilistic reasoning in intelligent systems : networks of plausible inference /
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...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
San Francisco, Calif. :
Morgan Kaufmann Publishers,
[1988]
|
| Edition: | Revised second printing, revised & updated edition. |
| Series: | Morgan Kaufmann series in representation and reasoning.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks. |
|---|---|
| Physical Description: | 1 online resource (xix, 552 pages) |
| ISBN: | 9780080514895 0080514898 |