The Foundations of Causal Decision Theory
Part of Cambridge Studies in Probability, Induction and Decision Theory
- Author: James M. Joyce, University of Michigan, Ann Arbor
- Date Published: May 2008
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9780511402760
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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.
Read more- 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
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×Product details
- Date Published: May 2008
- format: Adobe eBook Reader
- isbn: 9780511402760
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of 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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