000			02159nam a22002297a 4500
999			_c1321 _d1321
005			20211101122419.0
008			211101b ||||| |||| 00| 0 eng d
020			_a9781316606209
082			_a519.542 _bPET
100			_aPeterson, Martin _93212
245			_aAn introduction to decision theory
250			_a2nd
260			_bCambridge University Press _aNew York _c2021
300			_ax, 339 p.
365			_aGBP _b22.99
504			_aTable of Contents 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.
520			_aDescriptionContentsResourcesCoursesAbout the Authors 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.
650			_aBayesian statistical decision theory _91505
650			_aDecision making _9401
650			_aDecision making--Mathematical models _91481
942			_2ddc _cBK