Causes and Explanations: A Structural-Model Approach --- Part 1: Causes
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Abstract (arXiv)
We propose a new definition of actual causes, using structural equations to model counterfactuals.We show that the definitions yield a plausible and elegant account ofcausation that handles well examples which have caused problems forother definitions and resolves major difficulties in the traditionalaccount. In a companion paper, we show how the definition of causality can beused to give an elegant definition of (causal) explanation.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jan 2013.
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Citing papers per year: 2022: 1; 2023: 3; 2024: 0; 2025: 0; 2026: 2.
6 papers.
- 2023Explanations for Automatic Speech Recognitioncited by 8
- 2022Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcementcited by 2
- 2023Counterfactuals Modulo Temporal Logicscited by 1
- 2023Embracing Background Knowledge in the Analysis of Actual Causality: An Answer Set Programming Approachcited by 0
- 2026Actual causality in fault treescited by 0
- 2026Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Frameworkcited by 0
- 2026Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Framework9 Jul 2026
- 2026Actual causality in fault trees2 Jul 2026
- 2023Counterfactuals Modulo Temporal Logics15 Jun 2023
- 2023Embracing Background Knowledge in the Analysis of Actual Causality: An Answer Set Programming Approach6 Jun 2023
- 2023Explanations for Automatic Speech Recognition27 Feb 2023
- 2022Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement23 May 2022