The Similarity of Causal Structure

Author:

Eva Benjamin,Stern Reuben,Hartmann Stephan

Abstract

Whether y obtains under the counterfactual supposition that x is thought to depend on whether y obtains in the most similar world(s) in which x obtains. Graphical causal models have proved useful in developing a principled notion of similarity between worlds, but this notion is limited insofar as it does not apply to counterfactual suppositions about causal structure. Here, we explore the possibility of filling this lacuna by introducing a notion of similarity between causal graphs. Since there are multiple principled senses in which graphs can be similar, we introduce multiple similarity metrics and multiple ways to prioritize these metrics.

Publisher

Cambridge University Press (CUP)

Subject

History and Philosophy of Science,Philosophy,History

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Causal modeling semantics for counterfactuals with disjunctive antecedents;Annals of Pure and Applied Logic;2023-07

2. Deep Learning Applied to Scientific Discovery: A Hot Interface with Philosophy of Science;Journal for General Philosophy of Science;2023-02-22

3. Toward Out-of-Distribution Generalization Through Inductive Biases;Studies in Applied Philosophy, Epistemology and Rational Ethics;2022

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