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Would-Cause Semantics

Published online by Cambridge University Press:  01 January 2022

Phil Dowe
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Abstract

This article raises two difficulties that certain approaches to causation have with would-cause counterfactuals. First, there is a problem with David Lewis's semantics of counterfactuals when we ‘suppose in’ some positive event of a certain kind. And, second, there is a problem with embedded counterfactuals. I show that causal-modeling approaches do not have these problems.

Type
Research Article
Information
Philosophy of Science , Volume 76 , Issue 5 , December 2009 , pp. 701 - 711
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

‡

I would like to thank Stephen Barker and Jonathan Schaffer for comments on some of this material.

References

Armstrong, David (2004), Truth and Truthmakers. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Barker, Stephen (1999), “Counterfactuals, Probabilistic Counterfactuals, and Causation”, Counterfactuals, Probabilistic Counterfactuals, and Causation 108:427–469.Google Scholar
Barker, Stephen (2009), “Contrary to Fact”, unpublished manuscript. Nottingham: University of Nottingham.Google Scholar
Craver, Carl (2007), Explaining the Brain. Oxford: Oxford University Press.CrossRefGoogle Scholar
Dowe, Phil (2000), Physical Causation. New York: Cambridge University Press.CrossRefGoogle Scholar
Dowe, Phil (2001), “A Counterfactual Theory of Prevention and ‘Causation’ by Omission”, A Counterfactual Theory of Prevention and ‘Causation’ by Omission 79:216–226.Google Scholar
Dowe, Phil (2009), “Absences, Possible Causation, and the Problem of Non-locality”, Absences, Possible Causation, and the Problem of Non-locality 92 (January): 23–40.Google Scholar
Elga, Adam (2000), “Statistical Mechanics and the Asymmetry of Counterfactual Dependence”, Statistical Mechanics and the Asymmetry of Counterfactual Dependence 68:S313–S324.Google Scholar
Hall, Ned (2002), “Non-locality on the Cheap?”, Non-locality on the Cheap? 36:276–294.Google Scholar
Hitchcock, Christopher (2007), “Prevention, Preemption, and the Principle of Sufficient Reason”, Prevention, Preemption, and the Principle of Sufficient Reason 116:495–532.Google Scholar
Lewis, David (1973), “Causation”, Causation 70:556–567.Google Scholar
Lewis, David (1979), “Counterfactual Dependence and Time's Arrow”, Counterfactual Dependence and Time's Arrow 13:455–476.Google Scholar
Lewis, David (1986), “Causal Explanation”, in his Philosophical Papers. Vol. 2. Oxford: Oxford University Press, 214–240.Google Scholar
Lewis, David (2004a), “Causation as Influence”, in Collins, John, Hall, Ned, and Paul, Laurie (eds.), Causation and Counterfactuals. Cambridge, MA: MIT Press, 75–106.Google Scholar
Lewis, David (2004b), “Void and Object”, in Collins, John, Hall, Ned, and Paul, Laurie (eds.), Causation and Counterfactuals. Cambridge, MA: MIT Press, 277–290.Google Scholar
Maslen, Cei (2004), “Causes, Contrasts, and the Nontransitivity of Causation”, in Collins, John, Hall, Ned, and Paul, Laurie (eds.), Causation and Counterfactuals. Cambridge, MA: MIT Press, 341–357.Google Scholar
Menzies, Peter (1996), “Probabilistic Causation and the Preemption Problem”, Probabilistic Causation and the Preemption Problem 105:85–117.Google Scholar
Northcott, Robert (2008), “Causation and Contrast Classes”, Causation and Contrast Classes 139:111–123.Google Scholar
Pearl, Judea (2000), Causality: Models, Reasoning, and Inference. Cambridge: Cambridge University Press.Google Scholar
Schaffer, Jonathan (2005), “Contrastive Causation”, Contrastive Causation 114:297–328.Google Scholar
Spirtes, Peter, Glymour, Clarke, and Scheines, Richard (2000), Causation, Prediction, and Search. Springer Lecture Notes in Statistics, 2nd rev. ed. Cambridge, MA: MIT Press.Google Scholar
Woodward, James (2003), Making Things Happen. New York: Oxford University Press.Google Scholar
Woodward, James, and Hitchcock, Christopher (2003), “Explanatory Generalizations”, pt. 1, “A Counterfactual Account”, Explanatory Generalizations”, pt. 1, “A Counterfactual Account 37:1–24.Google Scholar