Erkenntnis 68 (2):149-68 (2008)

Authors
Toby Handfield
Monash University
Charles R. Twardy
George Mason University
Graham Oppy
Monash University
Abstract
This paper presents an attempt to integrate theories of causal processes—of the kind developed by Wesley Salmon and Phil Dowe—into a theory of causal models using Bayesian networks. We suggest that arcs in causal models must correspond to possible causal processes. Moreover, we suggest that when processes are rendered physically impossible by what occurs on distinct paths, the original model must be restricted by removing the relevant arc. These two techniques suffice to explain cases of late preëmption and other cases that have proved problematic for causal models.
Keywords Causation  Causal models  Processes  Counterfactuals  Preëmption
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DOI 10.1007/s10670-007-9060-3
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References found in this work BETA

Causation.David Lewis - 1973 - Journal of Philosophy 70 (17):556-567.
Causation as Influence.David Lewis - 2000 - Journal of Philosophy 97 (4):182-197.

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Citations of this work BETA

Grounding in the Image of Causation.Jonathan Schaffer - 2016 - Philosophical Studies 173 (1):49-100.
Metaphysical Causation.Alastair Wilson - 2018 - Noûs 52 (4):723-751.
Interventionist Counterfactuals.Rachael Briggs - 2012 - Philosophical Studies 160 (1):139-166.

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