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Synopsis
Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This book by one of the preeminent philosophers of science writing today offers the most comprehensive account available of causal asymmetries. It is a major book for philosophers of science that will also prove insightful to economists and statisticians.
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Review
"...I can highly recommend the book to anyone working on causation...it is both broad and deep in the subjects it treats....my understanding of alternative views was certainly deepened by reading Hausman's work." John Collier, Philosophy in Review
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- PublisherCambridge University Press
- Publication date2008
- ISBN 10 0521052424
- ISBN 13 9780521052429
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages320
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Causal Asymmetries (Cambridge Studies in Probability, Induction and Decision Theory)
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Causal Asymmetries (Cambridge Studies in Probability, Induction and Decision Theory)
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ISBN 13: 9780521052429
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Causal Asymmetries (Cambridge Studies in Probability, Induction and Decision Theory)
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ISBN 10: 0521052424
ISBN 13: 9780521052429
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Causal Asymmetries (Paperback)
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ISBN 10: 0521052424
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Paperback. Condition: new. Paperback. This book, by one of the pre-eminent philosophers of science writing today, offers the most comprehensive account available of causal asymmetries. Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This book explains why a relationship that is asymmetrical in one of these regards is asymmetrical in the others. Hausman discovers surprising hidden connections between theories of causation and traces them all to an asymmetry of independence. This is a major book for philosophers of science that will also prove insightful to economists and statisticians. Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This is a major book for philosophers of science that will also prove insightful to economists and statisticians. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521052429
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Causal Asymmetries (Cambridge Studies in Probability, Induction and Decision Theory)
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ISBN 13: 9780521052429
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