Reasoning under uncertainty, that is, making judgments with only partial knowledge, is a major theme in artificial intelligence. Professor Paris provides here an introduction to the mathematical foundations of the subject. The author presents the key results on the subject, and formalizes within a unified framework the main contemporary approaches and assumptions. He concentrates on giving clear mathematical formulations, analyses, justifications, and consequences of the main theories about uncertain reasoning.
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"This work is an outstanding mathematical treatment of uncertainty in knowledge-based systems. It provides, in a uunified manner, the needed fundamentals for theoretical approaches." L. State, Computing Reviews
"The majority of the papers are historical studies of particular enterprises or areas between the 1860s and the Second World War...The collection will provide matter of interest to others besides economic historians." Economic History Review
"This work is an outstanding mathematical treatment of uncertainty in knowledge-based systems. It provides, in a uunified manner, the needed fundamentals for theoretical approaches." L. State, Computing Reviews
Book Description
An introduction to the mathematical foundations of the subject. This work will be welcomed by graduate students and research workers in logic, philosophy and computer science as a textbook for beginners.
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First Sentence:
We shall structure this text around a particular question which seems to us to be central to the subject of uncertain reasoning. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
entropy inference process, entropy update, language invariance, entropy updating, renaming principle, justification for this principle, language invariant, uncertain reasoning, possibility function, conditional beliefs, propositional variables, belief function, belief network, required contradiction, knowledge statements, necessity function, inference processes, belief revision, cross entropy, second justification, probability function Key Phrases - Capitalized Phrases (CAPs): (learn more)
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We shall structure this text around a particular question which seems to us to be central to the subject of uncertain reasoning. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
entropy inference process, entropy update, language invariance, entropy updating, renaming principle, justification for this principle, language invariant, uncertain reasoning, possibility function, conditional beliefs, propositional variables, belief function, belief network, required contradiction, knowledge statements, necessity function, inference processes, belief revision, cross entropy, second justification, probability function Key Phrases - Capitalized Phrases (CAPs): (learn more)
Proof Let, Proof First New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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- Nets, Terms and Formulas: Three Views of Concurrent Processes and their Relationship (Cambridge Tracts in Theoretical Computer Science) by E. -R. Olderog in Front Matter
- Formal Methods in Artificial Intelligence (Cambridge Tracts in Theoretical Computer Science) by Allan M. Ramsay in Front Matter
- Programs, Recursion and Unbounded Choice (Cambridge Tracts in Theoretical Computer Science) by Wim H. Hesselink in Front Matter
- Predicate Transformer Semantics (Cambridge Tracts in Theoretical Computer Science) by Ernest. G. Manes in Front Matter
- Action Semantics (Cambridge Tracts in Theoretical Computer Science) by Peter D. Mosses in Front Matter
See all 22 books this book cites
- The Optimal Implementation of Functional Programming Languages (Cambridge Tracts in Theoretical Computer Science) by Andrea Asperti in Front Matter
- Basic Simple Type Theory (Cambridge Tracts in Theoretical Computer Science) by J. Roger Hindley in Front Matter
- Free Choice Petri Nets (Cambridge Tracts in Theoretical Computer Science) by Jorg Desel in Front Matter
- Domains and Lambda-Calculi (Cambridge Tracts in Theoretical Computer Science) by Roberto M. Amadio in Front Matter
- Concurrency Verification: Introduction to Compositional and Non-compositional Methods (Cambridge Tracts in Theoretical Computer Science) by Willem-Paul de Roever in Front Matter
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