# A unifying framework for relaxations of the causal assumptions in Bell's theorem

arXiv: https://arxiv.org/abs/1411.4648 · HTML: https://mlsanity.com/paper/1411.4648/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Nov 2014.

## Built on by (most cited first, 3 of 3)

- [Causal Networks and Freedom of Choice in Bell's Theorem](https://mlsanity.com/paper/2105.05721/) (2021)
- [Causal inference with imperfect instrumental variables](https://mlsanity.com/paper/2111.03029/) (2021)
- [An Extension Of Combinatorial Contextuality For Cognitive Protocols](https://mlsanity.com/paper/2202.08209/) (2022)

## Abstract (arXiv)

Bell's Theorem shows that quantum mechanical correlations can violate the constraints that the causal structure of certain experiments impose on any classical explanation. It is thus natural to ask to which degree the causal assumptions -- e.g. locality or measurement independence -- have to be relaxed in order to allow for a classical description of such experiments. Here, we develop a conceptual and computational framework for treating this problem. We employ the language of Bayesian networks to systematically construct alternative causal structures and bound the degree of relaxation using quantitative measures that originate from the mathematical theory of causality. The main technical insight is that the resulting problems can often be expressed as computationally tractable linear programs. We demonstrate the versatility of the framework by applying it to a variety of scenarios, ranging from relaxations of the measurement independence, locality and bilocality assumptions, to a novel causal interpretation of CHSH inequality violations.