Overview
- First non-Bayesian account of normative decision theory
- Axiomatisation of expected utility principle does not rely on independence axiom
- Includes a formal account of the framing of decision problems
Part of the book series: Theory and Decision Library A: (TDLA, volume 44)
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Table of contents (8 chapters)
Keywords
About this book
Reviews
From the reviews:
"This book presents an account of rational choice from a non-Bayesian point of view. … this book argues that the non-Bayesian approach offers more action guidance to the decision maker. … the book is well addressed to all researchers in the field of decision theory, and especially those with philosophical concerns." (Vangelis Grigoroudis, Zentralblatt MATH, Vol. 1151, 2009)
“Anyone concerned in the foundations of normative decision theory and who feels puzzled by the way this theory typically proceeds will doubtless welcome Martin Peterson’s Non-Bayesian Decision Theory. … Perterson’s book is written in a clear and pleasant style, is well organized and shows an impressive mastery of both formal models and conceptual issues pertaining to contemporary decision theory. … Its reading will be valuable to every scholar – philosopher or economist – interested by decision theory.” (Mikaël Cozic, Economics and Philosophy, Vol. 27, 2011)
Authors and Affiliations
Bibliographic Information
Book Title: Non-Bayesian Decision Theory
Book Subtitle: Beliefs and Desires as Reasons for Action
Authors: Martin Peterson
Series Title: Theory and Decision Library A:
DOI: https://doi.org/10.1007/978-1-4020-8699-1
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Philosophy and Religion (R0)
Copyright Information: Springer Science+Business Media B.V. 2008
Hardcover ISBN: 978-1-4020-8698-4Published: 22 June 2008
Softcover ISBN: 978-90-481-7957-2Published: 18 November 2010
eBook ISBN: 978-1-4020-8699-1Published: 06 June 2008
Series ISSN: 0921-3384
Series E-ISSN: 2352-2119
Edition Number: 1
Number of Pages: VIII, 170
Topics: Philosophy of Science, Operations Research/Decision Theory, Probability and Statistics in Computer Science, Game Theory, Economics, Social and Behav. Sciences, Economic Theory/Quantitative Economics/Mathematical Methods