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arXiv · 1905.01700

Bell's local causality is a d-separation criterion

Gábor Hofer-Szabó
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Abstract

This paper aims to motivate Bell's notion of local causality by means of Bayesian networks. In a locally causal theory any superluminal correlation should be screened off by atomic events localized in any so-called \textit{shielder-off region} in the past of one of the correlating events. In a Bayesian network any correlation between non-descendant random variables are screened off by any so-called \textit{d-separating set} of variables. We will argue that the shielder-off regions in the definition of local causality conform in a well defined sense to the d-separating sets in Bayesian networks.

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Gábor Hofer-Szabó. 2019-05-05. Bell's local causality is a d-separation criterion. https://doi.org/10.1007/978-981-13-2487-1_2

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