Responsibility and Blame: A Structural-Model Approach
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Causality is typically treated an all-or-nothing concept; either A is a cause of B or it is not. We extend the definition of causality introduced by Halpern and Pearl [2004a] to take into account the degree of responsibility of A for B. For example, if someone wins an election 11-0, then each person who votes for him is less responsible for the victory than if he had won 6-5. We then define a notion of degree of blame, which takes into account an agent's epistemic state. Roughly speaking, the degree of blame of A for B is the expected degree of responsibility of A for B, taken over the epistemic state of an agent.
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Cites
Hume, D. (1739) · Cambridge University Press eBooks · doi:10.1017/cbo9780511620409.040 · Cited by 9,866 · see citing works
(1994) · Cited by 5,513 · see citing works
CAUSALITY: MODELS, REASONING AND INFERENCE
Hitchcock, C., & Pearl, J. (2001) · The Philosophical Review · doi:10.2307/3182612 · Cited by 4,824 · see citing works
Causality: Models, Reasoning, and Inference
Shanmugam, R. (2001) · Neurocomputing · doi:10.1016/s0925-2312(01)00330-7 · Cited by 1,377 · see citing works
Stockmeyer, L. J. (1976) · Theoretical Computer Science · doi:10.1016/0304-3975(76)90061-x · Cited by 1,304 · see citing works
Causality models, reasoning and inference
Pearl, J. 1. (2000) · Cited by 1,044 · see citing works
(2004) · The MIT Press eBooks · doi:10.7551/mitpress/1752.001.0001 · Cited by 896 · see citing works
Causes and Explanations: A Structural-Model Approach. Part I: Causes
Halpern, J. Y., & Pearl, J. (2005) · The British Journal for the Philosophy of Science · doi:10.1093/bjps/axi147 · Cited by 781 · see citing works
Self-citationA Catalog of Complexity Classes
Johnson, D. S. (1990) · Elsevier eBooks · doi:10.1016/b978-0-444-88071-0.50007-2 · Cited by 578 · see citing works
Hall, N. (2001) · The MIT Press eBooks · doi:10.7551/mitpress/1752.003.0010 · Cited by 516 · see citing works
The complexity of optimization problems
Krentel, M. W. (1988) · Journal of Computer and System Sciences · doi:10.1016/0022-0000(88)90039-6 · Cited by 449 · see citing works
An Essay on Moral Responsibility.
Gorr, M., & Zimmerman, M. J. (1991) · Philosophy and Phenomenological Research · doi:10.2307/2107898 · Cited by 407 · see citing works
Shafer, G. R. (1996) · The MIT Press eBooks · doi:10.7551/mitpress/1403.001.0001 · Cited by 265 · see citing works
Causes and Explanations: A Structural-Model Approach. Part II: Explanations
Halpern, J. Y., & Pearl, J. (2005) · The British Journal for the Philosophy of Science · doi:10.1093/bjps/axi148 · Cited by 242 · see citing works
Self-citationComplexity results for structure-based causality
Eiter, T., & Lukasiewicz, T. (2002) · Artificial Intelligence · doi:10.1016/s0004-3702(02)00271-0 · Cited by 97 · see citing works
On the complexity of unique solutions
Papadimitriou, C. H. (1984) · Journal of the ACM · doi:10.1145/62.322435 · Cited by 94 · see citing works
What causes a system to satisfy a specification?
Chockler, H., Halpern, J. Y., & Kupferman, O. (2008) · ACM Transactions on Computational Logic · doi:10.1145/1352582.1352588 · Cited by 75 · see citing works
Self-citationComputing functions with parallel queries to NP
Jenner, B., & Torán, J. (1995) · Theoretical Computer Science · doi:10.1016/0304-3975(94)00080-3 · Cited by 54 · see citing works
An Essay on Moral Responsibility
Zimmerman, M. J. (1988) · DigitalGeorgetown (Georgetown University Library) · Cited by 42 · see citing works
Causes and Explanations: A Structural-Model Approach
Halpern, J. Y., & Pearl, J. (2000) · eScholarship (California Digital Library) · Cited by 39 · see citing works
Self-citationShafer, G. R. (2002) · Studies in fuzziness and soft computing · doi:10.1007/978-3-7908-1792-8_23 · Cited by 13 · see citing works
Causes and explanations in the structural-model approach: Tractable cases
Eiter, T., & Lukasiewicz, T. (2006) · Artificial Intelligence · doi:10.1016/j.artint.2005.12.003 · Cited by 12 · see citing works
Causes and explanations in the structural-model approach
Eiter, T., & Lukasiewicz, T. (2002) · Uncertainty in Artificial Intelligence · Cited by 8 · see citing works
What Causes a System to Satisfy a Specification?Preprint
Chockler, H., Halpern, J. Y., & Kupferman, O. (2003) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0312036 · Cited by 4 · see citing works
Self-citation
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Research works printed but not linked: 1
- Hart, H. L. A., & Honoré, T. (1985). Causation in the Law (Second Edition edition). Oxford University Press, Oxford, U.K.
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- Authors
- Chockler, H., & Halpern, J. Y.
- Affiliations
- Northeastern University (US)
- Cornell University (US)
- Venue
- Journal of Artificial Intelligence Research
- Publisher
- AI Access Foundation
- Published
- 2004-10-01
- Volume
- 22
- Pages
- 93-115
- ISSN
- 1076-9757 (ISSN-L)
- OpenAlex
- W1636554345
- Cited by
- 325
- References
- 27
- Citations by year
- 2026: 12 · 2025: 13 · 2024: 17 · 2023: 40 · 2022: 28 · 2021: 43 · 2020: 18 · 2019: 19 · 2018: 18 · 2017: 12 · 2016: 18 · 2015: 15 · 2014: 19 · 2013: 15 · 2012: 7
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Artificial Intelligence Research (publishedVersion, cc-by)
- Funders
- National Science Foundation (0208535)
- Hebrew University of Jerusalem
- Multidisciplinary University Research Initiative
- Office of Naval Research (N00014-01-1-0795, N00014)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Keywords
- responsibility, blame, causality, epistemic states, probabilistic causation, structural model
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