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The foundations of 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Joyce, James M., 1958-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, ©1999.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Joyce, James M.,  |d 1958- 
245 1 4 |a The foundations of causal decision theory /  |c James M. Joyce. 
260 |a Cambridge ;  |a New York :  |b Cambridge University Press,  |c ©1999. 
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504 |a Includes bibliographical references (pages 258-264) and index. 
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505 0 |a Ch. 6. A General Theory of Conditional Beliefs -- Ch. 7. A Representation Theorem for Causal Decision Theory -- Ch. 8. Where Things Stand. 
505 0 |a 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. 
520 |a 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. 
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