Indeterminism, counterfactuals, and causation
Philosophy of Science 54 (1):45-62 (1987)
| Abstract | In this paper I wish to argue that counterfactual analyses of causation are inadequate. I believe the counterfactuals that are involved in counterfactual analyses of causation are often false, and thus the theories do not provide an adequate account of causation. This is demonstrated by the presentation of a counterexample to the counterfactual analyses of causation. I then present a unified theory of causation that is based upon probability and counterfactuals. This theory accounts for both deterministic and indeterministic causation, and is not subject to many of the traditional problems facing theories of causation | |||||||||
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Ernest Sosa (ed.) (1975). Causation and Conditionals. Oxford University Press.
S. Barker (1999). Counterfactuals, Probabilistic Counterfactuals and Causation. Mind 108 (431):427-469.
Stephen Mumford & Rani Lill Anjum (2009). Double Prevention and Powers. Journal of Critical Realism 8 (3):277-293.
L. A. Paul (1998). Keeping Track of the Time: Emending the Counterfactual Analysis of Causation. Analysis 58 (3):191–198.
Lei Zhong (2012). Counterfactuals, Regularity and the Autonomy Approach. Analysis 72 (1):75-85.
Lei Zhong (2011). Can Counterfactuals Solve the Exclusion Problem? Philosophy and Phenomenological Research 83 (1):129-147.
Peter Menzies, Counterfactual Theories of Causation. Stanford Encyclopedia of Philosophy.
S. Barker (2003). A Dilemma for the Counterfactual Analysis of Causation. Australasian Journal of Philosophy 81 (1):62 – 77.
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