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Causal Asymmetries - Cambridge Studies in Probability, Induction and Decision Theory Hausman, Daniel M. (University of Wisconsin, Madison)
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Causal Asymmetries - Cambridge Studies in Probability, Induction and Decision Theory
Hausman, Daniel M. (University of Wisconsin, Madison)
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.
320 pages, 34 b/w illus.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 29 de enero de 2008 |
| ISBN13 | 9780521052429 |
| Editores | Cambridge University Press |
| Páginas | 320 |
| Dimensiones | 153 × 228 × 18 mm · 490 g |
| Lengua | Inglés |
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