Now revised and updated, this introduction to decision theory is both accessible and comprehensive, covering topics including 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, with all concepts and results explained in non-technical and intuitive as well as more formal ways. There are now over 140 exercises with solutions, along with a glossary of key terms and concepts. This second edition includes a new chapter on risk aversion as well as updated discussions of numerous central ideas, including Newcomb's problem, prisoner's dilemmas, and Arrow's impossibility theorem. The book will appeal particularly to philosophy students but also to readers in a range of disciplines, from computer science and psychology to economics and political science.
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Preface; 1. Introduction; 2. The decision matrix; 3. Decisions under ignorance; 4. Decisions under risk; 5. Utility; 6. The mathematics of probability; 7. The philosophy of probability; 8. Bayesianism and pragmatic arguments; 9. Causal vs evidential decision theory; 10. Risk aversion; 11. Game theory I: basic concepts and zero-sum games; 12. Game theory II: nonzero-sum and cooperative games; 13. Social choice theory; 14. Overview of descriptive decision theory; Appendix A. Glossary; Further reading; Index.
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A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.

Produktdetaljer

ISBN
9781107151598
Publisert
2017-03-30
Utgave
2. utgave
Utgiver
Vendor
Cambridge University Press
Vekt
760 gr
Høyde
255 mm
Bredde
181 mm
Dybde
23 mm
Aldersnivå
P, U, 06, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
348

Forfatter

Biographical note

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).