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Reasoning about Uncertainty (Paperback, second edition)
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Reasoning about Uncertainty (Paperback, second edition)
Series: Reasoning about Uncertainty
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Formal ways of representing uncertainty and various logics for
reasoning about it; updated with new material on weighted
probability measures, complexity-theoretic considerations, and
other topics. In order to deal with uncertainty intelligently, we
need to be able to represent it and reason about it. In this book,
Joseph Halpern examines formal ways of representing uncertainty and
considers various logics for reasoning about it. While the ideas
presented are formalized in terms of definitions and theorems, the
emphasis is on the philosophy of representing and reasoning about
uncertainty. Halpern surveys possible formal systems for
representing uncertainty, including probability measures,
possibility measures, and plausibility measures; considers the
updating of beliefs based on changing information and the relation
to Bayes' theorem; and discusses qualitative, quantitative, and
plausibilistic Bayesian networks. This second edition has been
updated to reflect Halpern's recent research. New material includes
a consideration of weighted probability measures and how they can
be used in decision making; analyses of the Doomsday argument and
the Sleeping Beauty problem; modeling games with imperfect recall
using the runs-and-systems approach; a discussion of
complexity-theoretic considerations; the application of first-order
conditional logic to security. Reasoning about Uncertainty is
accessible and relevant to researchers and students in many fields,
including computer science, artificial intelligence, economics
(particularly game theory), mathematics, philosophy, and
statistics.
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