Causal Asymmetries |
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Author:
| Hausman, Daniel M. |
Contribution by:
| Adams, Ernest W. Binmore, Ken Butterfield, Jeremy Diaconis, Persi Harper, William L. Skyrms, Brian Harsanyi, John Jeffrey, Richard C. Spohn, Wolfgang Suppes, Patrick |
Series title: | Cambridge Studies in Probability, Induction and Decision Theory Ser. |
ISBN: | 978-0-521-62289-9 |
Publication Date: | Jul 1998 |
Publisher: | Cambridge University Press
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Book Format: | Hardback |
List Price: | USD $140.00 |
Book Description:
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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.
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.