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The Foundations of Causal Decision Theory
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 (ISBN-13: 9780511402760)

This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.

• Most complete account of causal decision theory • Very clear exposition and presentation of technical material • Will interest economists, mathematicians and psychologists as well as philosophers

Contents

Preface; Introduction: a chance to reconsider; 1. Prudential rationality as expected utility maximization; 2. Decision problems; 3. Savage's theory; 4. Evidential decision theory; 5. Causal decision theory; 6. A general theory of conditional beliefs; 7. A representation theorem for causal decision theory; 8. Where things stand; Notes; References.

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