Non-Bayesian Decision Theory by Martin Peterson

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Summary

It will be shown that utility and probability fu- tions derived in a non-Bayesian manner can be used for generating preferences over uncertain prospects, that support the principle of maximising subjective expected utility.

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Non-Bayesian Decision Theory by Martin Peterson

For quite some time, philosophers, economists, and statisticians have endorsed a view on rational choice known as Bayesianism. The work on this book has grown out of a feeling that the Bayesian view has come to dominate the academic com- nitytosuchanextentthatalternative,non-Bayesianpositionsareseldomextensively researched. Needless to say, I think this is a pity. Non-Bayesian positions deserve to be examined with much greater care, and the present work is an attempt to defend what I believe to be a coherent and reasonably detailed non-Bayesian account of decision theory. The main thesis I defend can be summarised as follows. Rational agents m- imise subjective expected utility, but contrary to what is claimed by Bayesians, ut- ity and subjective probability should not be de?ned in terms of preferences over uncertain prospects. On the contrary, rational decision makers need only consider preferences over certain outcomes. It will be shown that utility and probability fu- tions derived in a non-Bayesian manner can be used for generating preferences over uncertain prospects, that support the principle of maximising subjective expected utility. To some extent, this non-Bayesian view gives an account of what modern - cision theory could have been like, had decision theorists not entered the Bayesian path discovered by Ramsey, de Finetti, Savage, and others. I will not discuss all previous non-Bayesian positions presented in the literature.

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)

Peterson, Martin: - Martin Peterson holds the Sue and Harry Bovay Chair in the Department of Philosophy, Texas A&M University. He is the author of several books on decision theory, ethics, and risk, including Non-Bayesian Decision Theory (2008), The Dimensions of Consequentialism (Cambridge, 2013), and The Ethics of Technology (forthcoming).
SKU Unavailable
ISBN 13 9789048179572
ISBN 10 9048179572
Title Non-Bayesian Decision Theory
Author Martin Peterson
Series Theory And Decision Library A
Condition Unavailable
Binding Type Paperback
Publisher Springer
Year published 2010-11-18
Number of pages 170
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.