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Apt Causal Models and The Relativity of Actual Causation

McDonald, Jennifer (2022) Apt Causal Models and The Relativity of Actual Causation. In: UNSPECIFIED.

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Abstract

Recent work promises to analyze actual causation using causal models. Any such analysis must include how a model should map onto the world. A natural thought is that a model must at least be accurate – saying only true things. However, I argue that this is overly simple. I demonstrate how accuracy is not had tout court, but only relative to a space of possibilities. This discovery raises a problem for extant causal model theories and, indeed, any theory of actual causation in terms of counterfactual or type-level causal dependence. I conclude with a view that resolves this problem.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
McDonald, Jenniferjenniferrosemcdonald@gmail.com
Keywords: Causation, Causal Modeling
Subjects: General Issues > Causation
Depositing User: Ms Jennifer McDonald
Date Deposited: 14 Nov 2022 15:41
Last Modified: 14 Nov 2022 15:41
Item ID: 21407
Subjects: General Issues > Causation
Date: 13 November 2022
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/21407

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