Causal Asymmetries: (Cambridge Studies in Probability, Induction and Decision The)

Series: Cambridge Studies in Probability, Induction and Decision The

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 writing today offers the most comprehensive account av