Causal Asymmetries

Klappentext The most comprehensive account available of causal asymmetry! written by a pre-eminent philosopher of science. Zusammenfassung 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. Inhaltsverzeichnis List of figures; Acknowledgements; Introduction: causation and its asymmetries; 1. Metaphysical pictures and wishes; 1*. Transfer theories; 2. Is causation a relation among events?; 3. Causation, regularities and time: Hume's theory; 4. Causation and independence; 4*. Causation, independence and causal connection; 5. Agency theory; 5*. Causal generalizations and agency; 6. The counterfactual theory; 6*. Independence and counterfactual dependence; 7. Counterfactuals, agency and independence; 7*. Agency, counterfactuals and independence; 8. Causation, explanation and laws; 8*. Causation, explanation and independent alterability; 9. Probabilistic causation; 10. Causation and conditional probabilities; 10*. Causal graphs and conditional probabilistic dependencies; 11. Intervention, robustness and probabilistic dependence; 11*. Interventions and conditional probabilities; 12. Operationalizing and revising the independence theory; 12*. Probability distributions and causation; 13. Complications and conclusions; Appendix A: alphabetical list of propositions; Appendix B: list of theorems; References; Index.

Dettagli sul prodotto

• Autori: Daniel M. Hausman, Daniel M. (University of Wisconsin Hausman, Daniel M. Skyrms Hausman, Hausman Daniel M.
• Con la collaborazione di: Ernest W. Adams (Editore), Brian Skyrms (Editore)
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 28.07.1998
• EAN: 9780521622899
• ISBN: 978-0-521-62289-9
• Pagine: 320
• Serie: Cambridge Studies in Probability, Induction and Decision Theory; Cambridge Studies in Probabili; Cambridge Studies in Probability, Induction and Decision Theory
• Categorie: Scienze naturali, medicina, informatica, tecnica > Scienze naturali, tematiche generali; Scienze umane, arte, musica > Filosofia > Tematiche generali, enciclopedie; PHILOSOPHY / Logic, SCIENCE / Philosophy & Social Aspects, Philosophy of Science, Philosophy: logic