Graded Causation and Defaults
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Abstract (arXiv)
Recent work in psychology and experimental philosophy has shown that judgments of actual causation are often influenced by consideration of defaults, typicality, and normality. A number of philosophers and computer scientists have also suggested that an appeal to such factors can help deal with problems facing existing accounts of actual causation. This paper develops a flexible formal framework for incorporating defaults, typicality, and normality into an account of actual causation. The resulting account takes actual causation to be both graded and comparative. We then show how our account would handle a number of standard cases.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Sep 2013.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 3; 2024: 3; 2025: 2; 2026: 1.
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- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causalitycited by 353
- 2025BIG-Bench Extra Hardcited by 125
- 2022A Causal Analysis of Harmcited by 15
- 2021Direct Advantage Estimationcited by 11
- 2022Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processescited by 8
- 2024Automated Discovery of Functional Actual Causes in Complex Environmentscited by 4
- 2024Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosiscited by 3
- 2021Did I do that? Blame as a means to identify controlled effects in reinforcement learningcited by 2
- 2023Beyond Single-Feature Importance with ICECREAMcited by 2
- 2024Counterfactual-based Root Cause Analysis for Dynamical Systemscited by 2
- 2025Searching for Actual Causes: Approximate Algorithms with Adjustable Precisioncited by 1
- 2023Reducing Causality to Functions with Structural Modelscited by 0
- 2026AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems23 Aug 2026
- 2025Searching for Actual Causes: Approximate Algorithms with Adjustable Precision10 Jul 2025
- 2025BIG-Bench Extra Hard26 Feb 2025
- 2024Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis11 Nov 2024
- 2024Counterfactual-based Root Cause Analysis for Dynamical Systems12 Jun 2024
- 2024Automated Discovery of Functional Actual Causes in Complex Environments16 Apr 2024
- 2023Beyond Single-Feature Importance with ICECREAM19 Jul 2023
- 2023Reducing Causality to Functions with Structural Models11 Jul 2023
- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causality28 Apr 2023
- 2022A Causal Analysis of Harm11 Oct 2022
- 2022Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes1 Apr 2022
- 2021Direct Advantage Estimation13 Sep 2021
- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causalitycited by 353
- 2025BIG-Bench Extra Hardcited by 125
- 2025BIG-Bench Extra Hard26 Feb 2025
- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causality28 Apr 2023
- 2022A Causal Analysis of Harmcited by 15
- 2021Direct Advantage Estimationcited by 11
- 2022Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processescited by 8
- 2024Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosiscited by 3
- 2021Did I do that? Blame as a means to identify controlled effects in reinforcement learningcited by 2
- 2023Beyond Single-Feature Importance with ICECREAMcited by 2
- 2024Counterfactual-based Root Cause Analysis for Dynamical Systemscited by 2
- 2025Searching for Actual Causes: Approximate Algorithms with Adjustable Precisioncited by 1
- 2023Reducing Causality to Functions with Structural Modelscited by 0
- 2026AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systemscited by 0
- 2026AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems23 Aug 2026
- 2025Searching for Actual Causes: Approximate Algorithms with Adjustable Precision10 Jul 2025
- 2024Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis11 Nov 2024
- 2024Counterfactual-based Root Cause Analysis for Dynamical Systems12 Jun 2024
- 2023Beyond Single-Feature Importance with ICECREAM19 Jul 2023
- 2023Reducing Causality to Functions with Structural Models11 Jul 2023
- 2022A Causal Analysis of Harm11 Oct 2022
- 2022Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes1 Apr 2022
- 2021Direct Advantage Estimation13 Sep 2021
- 2021Did I do that? Blame as a means to identify controlled effects in reinforcement learning1 Jun 2021