Repository URL:
http://philsci-archive.pitt.edu/id/eprint/12258
Author(s):
Fenton-Glynn, Luke
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conference paper description
Actual (token) causes - e.g. Suzy's being exposed to asbestos - often bring about their effects - e.g. Suzy's suffering mesothelioma - probabilistically. I use probabilistic causal models to tackle one of the thornier difficulties for traditional accounts of probabilistic actual causation: namely probabilistic preemption.

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