The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Causes and Explanations: A Structural-Model Approach. Part I: Causes
Abstract
We propose a new definition of actual causes, using structural equations to model counterfactuals. We show that the definition yields a plausible and elegant account of causation that handles well examples which have caused problems for other definitions and resolves major difficulties in the traditional account. 1. Introduction2. Causal models: a review2.1Causal models2.2Syntax and semantics3. The definition of cause4. Examples5. A more refined definition6. DiscussionAAppendix: Some Technical IssuesA.1The active causal processA.2A closer look at AC2(b)A.3Causality with infinitely many variablesA.4Causality in nonrecursive models
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Citations
Cites
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653
Self-citationCausation, Prediction, and Search
Spirtes, P., Glymour, C., & Scheines, R. (2001) · doi:10.7551/mitpress/1754.001.0001 · Cited by 4,521
Causal diagrams for empirical research
PEARL, J. (1995) · Biometrika · doi:10.1093/biomet/82.4.669 · Cited by 2,355 · cited 2×
“The resulting causal diagram is shown in Figure 5; it is isomorphic to a class of problems Pearl [2000] calls “switching causation”.”
BackgroundMethodSelf-citationStructural Equation Methods in the Social Sciences
Goldberger, A. S. (1972) · Econometrica · doi:10.2307/1913851 · Cited by 668
Probabilities of causation: Bounds and identification
Tian, J., & Pearl, J. (2000) · Annals of Mathematics and Artificial Intelligence · doi:10.1023/a:1018912507879 · Cited by 179
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Cited by
Explanation in artificial intelligence: Insights from the social sciences
Miller, T. (2019) · Artificial Intelligence · doi:10.1016/j.artint.2018.07.007 · Cited by 5,302
Datta, A., Sen, S., & Zick, Y. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.42 · Cited by 728
The seven tools of causal inference, with reflections on machine learning
Pearl, J. (2019) · Communications of the ACM · doi:10.1145/3241036 · Cited by 659
Self-citationThe water–food–energy Nexus – Realising a new paradigm
Smajgl, A., Ward, J., & Pluschke, L. (2016) · Journal of Hydrology · doi:10.1016/j.jhydrol.2015.12.033 · Cited by 359
Responsibility and Blame: A Structural-Model Approach
Chockler, H., & Halpern, J. Y. (2004) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1391 · Cited by 325
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Metadata
- Authors
- Halpern, J. Y., & Pearl, J.
- Venue
- The British Journal for the Philosophy of Science
- Publisher
- University of Chicago Press
- Published
- 2005-12-01
- Volume
- 56
- Issue
- 4
- Pages
- 843-887
- ISSN
- 0007-0882 (ISSN-L)
- 1464-3537
- OpenAlex
- W2137819283
- Cited by
- 779
- References
- 5
- FWCI
- 171.17
- Type
- journal article
- Language
- en
- Open access
- closed
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