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