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Taking Chances

Taking Chances

Taking Chances

Essays on Rational Choice
Author:
Jordan Howard Sobel
Published:
April 1994
Availability:
Available
Format:
Hardback
ISBN:
9780521416351

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$135.00 (C) USD
Hardback
$70.00 (C) USD
Paperback

    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.

    • 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

    "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

    Product details

    • Published: April 1994
    • Format: Hardback
    • ISBN: 9780521416351
    • Length: 390 pages
    • Dimensions: 237 × 160 × 27 mm
    • Weight: 0.731kg
    • 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.

    Author

    Jordan Howard Sobel