A counterfactual analysis of causation
Mind 106 (422):263-277 (1997)
| Abstract | On David Lewis's original analysis of causation, c causes e only if c is linked to e by a chain of distinct events such that each event in the chain (counter-factually) depends on the former one. But this requirement precludes the possibility of late pre-emptive causation, of causation by fragile events, and of indeterministic causation. Lewis proposes three different strategies for accommodating these three kinds of cases, but none of these turn out to be satisfactory. I offer a single analysis of causation that resolves these problems in one go but which respects Lewis's initial insights. One distinctive feature of my account is that it accommodates indeterministic causation without resorting to probabilities. | |||||||||
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Peter Menzies, Counterfactual Theories of Causation. Stanford Encyclopedia of Philosophy.
L. A. Paul (1998). Problems with Late Preemption. Analysis 58 (1):48–53.
Jig-Chuen Lee (1986). Causal Condition, Causal Asymmetry, and the Counterfactual Analysis of Causation. Synthese 67 (2):213 - 223.
Sungho Choi (2007). Causation and Counterfactual Dependence. Erkenntnis 67 (1):1 - 16.
L. A. Paul (1998). Keeping Track of the Time: Emending the Counterfactual Analysis of Causation. Analysis 58 (3):191–198.
Alex Byrne & Ned Hall (1998). Against the PCA-Analysis. Analysis 58 (1):38–44.
Murali Ramachandran (2004). A Counterfactual Analysis of Indeterministic Causation. In J. Collins, E. J. Hall & L. A. Paul (eds.), Causation and Counterfactuals. MIT Press.
Richard Otte (1987). Indeterminism, Counterfactuals, and Causation. Philosophy of Science 54 (1):45-62.
Tomasz Bigaj (2012). Causation Without Influence. Erkenntnis 76 (1):1-22.
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