Skip Nav Destination
Close Modal
Update search
NARROW
Format
Subjects
Date
Availability
1-20 of 46
Joseph Y. Halpern
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.001.0001
EISBN: 9780262340496
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.
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0011
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0012
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0013
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0014
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0015
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0016
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0001
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0002
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0003
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0004
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0005
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0006
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0007
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0008
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0009
EISBN: 9780262340496
Publisher: The MIT Press
Published: 07 April 2017
DOI: 10.7551/mitpress/10951.003.0010
EISBN: 9780262340496
Book: Actual Causality
Publisher: The MIT Press
Published: 12 August 2016
DOI: 10.7551/mitpress/10809.003.0001
EISBN: 9780262336611
Book: Actual Causality
Publisher: The MIT Press
Published: 12 August 2016
DOI: 10.7551/mitpress/10809.003.0002
EISBN: 9780262336611
Book: Actual Causality
Publisher: The MIT Press
Published: 12 August 2016
DOI: 10.7551/mitpress/10809.003.0003
EISBN: 9780262336611