Causality and Reliability

Abstract David Lewis’s classical counterfactual theory of causation fails to capture what we call the “reliability constraint on causation,” according to which c causes e only if e would occur in pertinently similar circumstances where c occurs. In this article, we put forward a modified counterfactual account of causation that attempts to accommodate the reliability constraint. Our account adopts a strengthened possible-worlds semantics while retaining the strong centering thesis. Moreover, by contrasting our approach with several alternative counterfactual approaches to reliability, we aim to argue that our account is more plausible than the competing accounts.

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Publication Details

Journal
Acta Analytica
Published
2025-03-13
DOI
https://doi.org/10.1007/s12136-025-00634-6
Primary Topic
Bayesian Modeling and Causal Inference
Type
article
Field-Weighted Citation Impact
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article

Causality and Reliability

Yingying Tang, Lei Zhong
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Acta Analytica
Bayesian Modeling and Causal Inference
article

Causality and Reliability

Yingying Tang, Lei Zhong
article en

Abstract

Abstract David Lewis’s classical counterfactual theory of causation fails to capture what we call the “reliability constraint on causation,” according to which c causes e only if e would occur in pertinently similar circumstances where c occurs. In this article, we put forward a modified counterfactual account of causation that attempts to accommodate the reliability constraint. Our account adopts a strengthened possible-worlds semantics while retaining the strong centering thesis. Moreover, by contrasting our approach with several alternative counterfactual approaches to reliability, we aim to argue that our account is more plausible than the competing accounts.

Acta AnalyticaVol. 41(1)
Chinese University of Hong Kong (HK), Shenzhen University (CN)
Openalex Percentile: Top 98%
Bayesian Modeling and Causal Inference
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