The foundations of causal decision theory / James M. Joyce
- Joyce, James M., 1958-
- Cambridge : Cambridge University Press, 1999.
- Physical Description:
- 1 online resource (xii, 268 pages) : digital, PDF file(s).
- Cambridge studies in probability, induction and decision theory
- Ch. 6. A General Theory of Conditional Beliefs -- Ch. 7. A Representation Theorem for Causal Decision Theory -- Ch. 8. Where Things Stand. and Introduction: A Chance to Reconsider -- Ch. 1. Instrumental Rationality as Expected Utility Maximization -- Ch. 2. Decision Problems -- Ch. 3. Savage's Theory -- Ch. 4. Evidential Decision Theory -- Ch. 5. Causal Decision Theory.
- 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.
- 9780511498497 (ebook), 9780521641647 (hardback), and 9780521063562 (paperback)
- Title from publisher's bibliographic system (viewed on 05 Oct 2015).
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