An Introduction to Decision Theory

Front Cover
Cambridge University Press, May 14, 2009 - Business & Economics - 317 pages
This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science.
 

Contents

The decision matrix
17
Decisions under ignorance
40
Decisions under risk
64
The mathematics of probability
117
The philosophy of probability
133
Why should we accept the preference axioms?
164
Causal vs evidential decision theory
187
Bayesian vs nonBayesian decision theory
200
Nonzerosum and cooperative games
240
Social choice theory
263
Overview of descriptive decision theory
285
Glossary
296
Proof of the von NearnannMorgenstern theorem
302
Further reading
308
Index
314
Copyright

Basic concepts and zerosum games
212

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About the author (2009)

Martin Peterson is Associate Professor of Philosophy at the Royal Institute of Technology, Sweden. He is author of Non-Bayesian Decision Theory (2008).