Representing and reasoning with probabilistic knowledge : a logical approach to probabilities / Fahiem Bacchus.
Material type:
TextSeries: Artificial intelligencePublication details: Cambridge : MIT Press, c1990.Description: 233 p. : ill. ; 24 cmISBN: - 9780262023177
- 519.2 23 B116
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 519.2 B116 (Browse shelf(Opens below)) | Available | C26395 |
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| 519.2 Au923 Introduction to imprecise probabilities / | 519.2 B116 Palm probabilities and stationary queues | 519.2 B116 Palm probabilities and stationary queues | 519.2 B116 Representing and reasoning with probabilistic knowledge : | 519.2 B142 Recent advances in applied probability | 519.2 B154 probability and statistics | 519.2 B171 Runs with scans and applications |
Includes bibliographical references (p. [219]-227) and index.
1. Introduction--
2. Propositional probabilities--
3. Statistical probabilities--
4. Combining statistical and propositional probabilities--
5. Default inferences from statistical knowledge--
Bibliography--
Index.
This book explores logical formalisms for representing and reasoning with probabilistic information that will be of particular value to researchers in nonmonotonic reasoning, applications of probabilities, and knowledge representation. It demonstrates that probabilities are not limited to particular applications, like expert systems; they have an important role to play in the formal design and specification of intelligent systems in general.
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