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Representing and reasoning with probabilistic knowledge : a logical approach to probabilities / Fahiem Bacchus.

By: Material type: TextTextSeries: Artificial intelligencePublication details: Cambridge : MIT Press, c1990.Description: 233 p. : ill. ; 24 cmISBN:
  • 9780262023177
Subject(s): DDC classification:
  • 519.2 23 B116
Contents:
1. Introduction-- 2. Propositional probabilities-- 3. Statistical probabilities-- 4. Combining statistical and propositional probabilities-- 5. Default inferences from statistical knowledge-- Bibliography-- Index.
Summary: 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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Holdings
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
Total holds: 0

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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