Explanation, causality, and counterfactuals
Philosophy of Science 52 (3):357-389 (1985)
| Abstract | The aim of this paper is to develop an adequate version of the D-N theory of explanation for particular events and to show how the resulting D-N model can be used as a tool in articulating a regularity theory of causation and an analysis of the truth conditions for counterfactual conditionals. Starting with a basic model that is largely the product of other workers in this field, two new restrictions are formulated in order to construct a version of D-N explanation that does not yield the counterintuitive results that have plagued all earlier versions. An additional condition is then developed that is indispensable for utilizing the D-N model as a tool in formulating a regularity theory of causation. Finally, it is shown how a suitable model of potential D-N explanation facilitates the formulation of a theory of counterfactual conditionals | |||||||||
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Lei Zhong (2012). Counterfactuals, Regularity and the Autonomy Approach. Analysis 72 (1):75-85.
Holly Andersen (2012). The Case for Regularity in Mechanistic Causal Explanation. Synthese 189 (3):415-432.
James J. Leach (1968). The Logic of the Situation. Philosophy of Science 35 (3):258-273.
Joseph F. Hanna (1982). Probabilistic Explanation and Probabilistic Causality. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:181 - 193.
Michael Strevens (2008). Depth: An Account of Scientific Explanation. Harvard University Press.
Richard Otte (1987). Indeterminism, Counterfactuals, and Causation. Philosophy of Science 54 (1):45-62.
Jakob Hohwy (2003). Capacities, Explanation and the Possibility of Disunity. International Studies in the Philosophy of Science 17 (2):179 – 190.
Thomas Kroedel (2012). Counterfactuals and the Epistemology of Modality. Philosophers' Imprint 12 (12).
S. Barker (2003). A Dilemma for the Counterfactual Analysis of Causation. Australasian Journal of Philosophy 81 (1):62 – 77.
Ernest Sosa (ed.) (1975). Causation and Conditionals. Oxford University Press.
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