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Causal Asymmetries (Cambridge Studies in Probability, Induction and Decision Theory)
Causal Asymmetries - Cambridge Studies in Probability, Induction and Decision Theory
Author: Daniel M. Hausman
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 ...  more »
ISBN-13: 9780521052429
ISBN-10: 0521052424
Publication Date: 2/4/2008
Pages: 320
Edition: 1
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Publisher: Cambridge University Press
Book Type: Paperback
Other Versions: Hardcover
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