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The Foundations of Causal Decision Theory
Paperback / softback
Main Details
Title |
The Foundations of Causal Decision Theory
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Authors and Contributors |
By (author) James M. Joyce
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Series | Cambridge Studies in Probability, Induction and Decision Theory |
Physical Properties |
Format:Paperback / softback | Pages:284 | Dimensions(mm): Height 228,Width 152 |
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Category/Genre | Philosophy - logic |
ISBN/Barcode |
9780521063562
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Classifications | Dewey:128.3 160 |
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Audience | Professional & Vocational | |
Illustrations |
Worked examples or Exercises
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Publishing Details |
Publisher |
Cambridge University Press
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Imprint |
Cambridge University Press
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Publication Date |
29 May 2008 |
Publication Country |
United Kingdom
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Description
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.
Reviews"The author writes in a style that is on the one hand entertaining and lighthearted and on the other hand highly technical in its analysis of axiomatic foundations. Readers who are interested in theoretical, prescriptive decision making from a philosophical perspective will find this a valuable book." Journal of Mathematical Psychology "This book makes a significant contribution to the standard decision theory." Chrisw Swoyer Univ. of Oklahoma
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