Cambridge University Press (1994)

Authors
Jeffrey Paris
University of Manchester
Abstract
Reasoning under uncertainty, that is, making judgements with only partial knowledge, is a major theme in artificial intelligence. Professor Paris provides here an introduction to the mathematical foundations of the subject. It is suited for readers with some knowledge of undergraduate mathematics but is otherwise self-contained, collecting together the key results on the subject, and formalising within a unified framework the main contemporary approaches and assumptions. The author has concentrated on giving clear mathematical formulations, analyses, justifications and consequences of the main theories about uncertain reasoning, so the book can serve as a textbook for beginners or as a starting point for further basic research into the subject. It will be welcomed by graduate students and research workers in logic, philosophy, and computer science as a textbook for beginners, a starting point for further basic research into the subject, and not least, an account of how mathematics and artificial intelligence can complement and enrich each other.
Keywords Logic, Symbolic and mathematical  Uncertainty  Reasoning  Incertitude  Raisonnement
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Reprint years 2006
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Call number QA9.P28 1994
ISBN(s) 0521032725   9780521032728   0521460891
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Degrees of Belief.Franz Huber & Christoph Schmidt-Petri (eds.) - 2008 - Dordrecht and Heidelberg: Springer.
Belief and Degrees of Belief.Franz Huber - 2009 - In F. Huber & C. Schmidt-Petri (eds.), Degrees of Belief. Springer.
Inductive Logic.James Hawthorne - 2011 - The Stanford Encyclopedia of Philosophy.
Bayes' Theorem.James Joyce - 2008 - Stanford Encyclopedia of Philosophy.
From Classical to Intuitionistic Probability.Brian Weatherson - 2003 - Notre Dame Journal of Formal Logic 44 (2):111-123.

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