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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.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 1998. gada 28. jūlijs |
| ISBN13 | 9780521622899 |
| Izdevēji | Cambridge University Press |
| Lapas | 320 |
| Izmēri | 237 × 160 × 31 mm · 628 g |
| Valoda | Angļu |
| Sērijas redaktors | Adams, Ernest W. |
| Sērijas redaktors | Binmore, Ken |
| Sērijas redaktors | Butterfield, Jeremy |
| Sērijas redaktors | Diaconis, Persi |
| Sērijas redaktors | Harper, William L. |
| Sērijas redaktors | Harsanyi, John |
| Sērijas redaktors | Jeffrey, Richard C. |
| Sērijas redaktors | Spohn, Wolfgang |
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