Cambridge Studies in Probability,

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 dont 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. Autor: Daniel M. (University of Wisconsin Hausman Wydawnictwo: Cambridge University Press Rok wydania: 2004 Okładka: twarda Liczba stron: 320 Wymiary: 16 x 23.7 x 3.1 cm Ilustracje: 34 Line drawings, unspecified Język: angielski ISBN: 9780521622899