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Look Inside Taking Chances

Taking Chances
Essays on Rational Choice

$62.99 (C)

Part of Cambridge Studies in Probability, Induction and Decision Theory

  • Date Published: August 2007
  • availability: Available
  • format: Paperback
  • isbn: 9780521038980

$ 62.99 (C)
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About the Authors
  • 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
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    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

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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.

  • Author

    Jordan Howard Sobel

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