

Taking Chances by Jordan Howard Sobel
J. Howard Sobel has long been recognized as an important figure in philosophical discussions of rational decision. He has done much to help formulate the concept of causal decision theory. In this volume of essays Sobel explores 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. Newcomb's Problem and The Prisoner's Dilemma are discussed, and Allais-type puzzles are viewed from the perspective of causal world Bayesianism. The author establishes principles for distinguishing options in decision problems, and studies ways in which perfectly rational causal maximizers can be capable of resolute choices. Sobel also views critically Gauthier's revisionist ideas about maximizing rationality. This collection will be a desideratum for anyone working in the field of rational choice theory, whether in philosophy, economics, political science, psychology or statistics. Howard Sobel's work in decision theory is certainly among the most important, interesting and challenging that is being done by philosophers.-
The Foundations of Causal Decision Theory
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Probability and the Art of Judgment
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Symmetry and its Discontents
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Decision Space
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Physical Causation
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The Dynamics of Norms
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Interpreting Probability
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The Structure of Values and Norms
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Rethinking the Foundations of Statistics
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The Concept of Probability in Statistical Physics
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The Design Inference
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Probabilistic Causality
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Knowledge, Belief, and Strategic Interaction
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Paradoxes of Belief and Strategic Rationality
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Causal Asymmetries
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Betting on Theories
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Equilibrium and Rationality
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Knowledge and Inquiry
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Foundations of Probability with Applications
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Probability and Conditionals
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Rationality and Coordination
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Creating Modern Probability
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| Title | Taking Chances |
| Author | Jordan Howard Sobel |
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| Condition | Unavailable |
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| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
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