Taking Chances
Essays on Rational Choice
Part of Cambridge Studies in Probability, Induction and Decision Theory
- Author: Jordan Howard Sobel
- Date Published: August 2007
- availability: Available
- format: Paperback
- isbn: 9780521038980
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The essays in this book develop and explore the Bayesian idea that rational actions maximize expected values, where an action's expected value is a weighted average of its agent's values for its possible total outcomes. The author establishes principles for distinguishing options in decision problems and pays much attention to games--both isolated and iterated. The book also views critically Gauthier's revisionist ideas about maximizing rationality.
Read more- Major philosopher working in decision theory - this collection represents his most important publishing in the field
- Genuine interdisciplinary interest in economics, statistics, political science and psychology
Reviews & endorsements
"...there is a profound unity throughout the volume and the analysis is always first-rate....I sincerely hope that this book will be widely read..." Maurice Salles, Mathematical Reviews
See more reviews"Spotting a rational choice is sometimes mercifully easy. Read this book. I guarantee a hefty payoff. Taking a chance on Taking Chances is taking no chance at all." Mark Vorobej, Canadian Philosophical Review
"Sobel is one of philosophy's leading experts on decision theory. How nice to have a collection of his contributions! These essays, mostly written during the last ten years, provide an excellent survey of current research in the field....Sobel's book is a cornucopia of insights about rational choice." Ethics
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×Product details
- Date Published: August 2007
- format: Paperback
- isbn: 9780521038980
- length: 392 pages
- dimensions: 228 x 152 x 24 mm
- weight: 0.594kg
- availability: Available
Table of Contents
Preface
Part I. World Bayesianism:
1. Utility and the Bayesian paradigm
Part II. Problems for Evidential Decision Theory:
2. Newcomblike problems
3. Not every prisoners' dilemma is a Newcomb problem
4. Some versions of Newcomb's problem are prisoners' dilemmas
5. Infallible predictors
6. Kent Bach on good arguments
7. Maximising and prospering
Part III. Causal Decision Theory:
8. Notes on decision theory: old wine in new bottles
9. Partition theorems for causal decision theories
10. Expected utilities and rational actions and choices
11. Maximisation, stability of decision and actions in accordance with reason
12. Useful intentions
Part IV. Interacting Causal Maximisers:
13. The need for coercion
14. Hyperrational games
15. Utility maximizers in iterated prisoners' dilemmas
16. Backward induction arguments: a paradox regained
References
Index of names.
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