Image from Syndetics
Probabilistic reasoning in intelligent systems : networks of plausible inference / Judea Pearl.
By: Pearl, Judea
.
Material type: 
BookSeries: Morgan Kaufmann series in representation and reasoning: Publisher: San Mateo, Calif. : Morgan Kaufmann Publishers, 1988Description: xix, 552 p. : ill. ; 24 cm.ISBN: 0934613737.Subject(s): Artificial intelligence | Reasoning | ProbabilitiesDDC classification: 006.3
| Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Bishopstown Library Store | 006.3 (Browse shelf(Opens below)) | 1 | Available | 00020714 |
Total holds: 0
Enhanced descriptions from Syndetics:
Textbook offers an accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. For graduate-level courses in AI, operations research, and applied probability. Annotation copyright Book News, Inc. Portland, Or.
Includes bibliographical references (p. 521-538) and index.
Table of contents provided by Syndetics
- Chapter 1 Uncertainty In AI Systems: An Overview
- Chapter 2 Bayesian Inference
- Chapter 3 Markov and Bayesian Networks: Two Graphical Representations of Probabilistic Knowledge
- Chapter 4 Belief Updating by Network Propagation
- Chapter 5 Distributed Revision of Composite Beliefs
- Chapter 6 Decision and Control
- Chapter 7 Taxonomic Hierarchies, Continuous Variables, and Uncertain Probabilities
- Chapter 8 Learning Structure from Data
- Chapter 9 Non-Bayesian Formalisms for Managing Uncertainty
- Chapter 10 Logic and Probability: The Strange Connection