The DOI matches its Crossref record; 62 of the 66 references it cites were found in a registry or an index.
Abduction as belief revision
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“This approach is also claimed to set a minimum criterion that an explanation must fulfill: it must favor the probability of the observed event P to all the hypothetical alternatives (Q 1 , Q 2 , . . ., Q n ) [14].”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [14]
In the citing paper
“Alternatively, counterfactual explanation is widely addressed in the paradigm of case-based reasoning, i.e., a family of problem solving methods based on appeals to precedent solutions.”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [14]
Citations
Cites
(1988) · Cited by 16,582
The Logic of Scientific Discovery
Bhaskar, R. (2013) · Routledge eBooks · doi:10.4324/9780203090732-9 · Cited by 7,765
On the logic of theory change: Partial meet contraction and revision functions
Alchourrón, C. E., Gärdenfors, P., & Makinson, D. (1985) · Journal of Symbolic Logic · doi:10.2307/2274239 · Cited by 3,245
A theory of diagnosis from first principles
Reiter, R. (1987) · Artificial Intelligence · doi:10.1016/0004-3702(87)90062-2 · Cited by 3,031
The Logic of Scientific Discovery.
Kendall, M. G., & Popper, K. R. (1959) · Biometrika · doi:10.2307/2332835 · Cited by 2,896
Hempel, C. G. (1966) · Medical Entomology and Zoology · Cited by 2,518
Stalnaker, R. C. (1968) · IFS · doi:10.1007/978-94-009-9117-0_2 · Cited by 2,220
de Kleer, J., & Williams, B. C. (1987) · Artificial Intelligence · doi:10.1016/0004-3702(87)90063-4 · Cited by 2,024
Lewis, D. (1973) · The Journal of Philosophy · doi:10.2307/2025310 · Cited by 1,917
Nonmonotonic reasoning, preferential models and cumulative logics
Kraus, S., Lehmann, D. J., & Magidor, M. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90101-5 · Cited by 1,660
Cited by
Sorted by citations
Items 101–117 of 117
Application of Fuzzy Abduction Technique in Aerospace Dynamics
Ghosh, S. K., Chatterjee, S., Mondal, B. K., & Kundu, D. (2016) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2016.070534
“[15] have introduced ―if.”
Personal service request categories and their facilitation with self-service technologies
Dettmering, S., & Mues, F. (2016) · Lund University Publications Student Papers (Lund University)
Anomaly-Driven Belief Revision by Abductive Metareasoning
Eckroth, J. (2014) · OhioLink ETD Center (Ohio Library and Information Network)
Explanatory Relations Revisited: Links with Credibility-Limited Revision
León, M. V., & Pérez, R. P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-47955-2_3
Science Maximizes Abducibility
Magnani, L. (2017) · Studies in applied philosophy, epistemology and rational ethics · doi:10.1007/978-3-319-59256-5_7
Generalized update: belief change in dynamic settings
Boutiller, C. (1995)
Magnani, L., Nersessian, N. J., & Thagard, P. R. (2000) · Foundations of Science · doi:10.1023/a:1011327402056
(2005) · A practical logic of cognitive systems · doi:10.1016/s1874-5075(05)80032-4
Magnani, L., & Nersessian, N. J. (2002) · Mind & Society · doi:10.1007/bf02511862
Lau, T. T. F. (2022) · Theoria · doi:10.1111/theo.12422
Abduction in Diagrammatic Reasoning: A Categorical Approach
Caterina, G., Gangle, R., & Tohmé, F. (2022) · Springer eBooks · doi:10.1007/978-3-030-68436-5_44-1
Abductive Logic Programming and Linear Algebraic Computation
Nguyen, T. Q., Inoue, K., & Sakama, C. (2023) · Springer eBooks · doi:10.1007/978-3-031-10135-9_62
Morphologic for knowledge dynamics: revision, fusion and abduction
Isabelle Bloch, A., Lang, J., Pérez, R. P., & Uzcátegui, C. (2023) · Journal of Applied Non-Classical Logics · doi:10.1080/11663081.2023.2244360
“Despite the absence of a general definition of explanation, there have been several attempts to develop a logical account of explanatory reasoning (Aiguier et al., 2018; Bochman, 2007; Boutilier & Becher, 1995; Díaz & Uzcátegui, 2008; Flach, 1996, 2000, 2000?”
BackgroundAn Incremental Diagnosis Algorithm of Human Erroneous Decision Making
Fouillard, V., Sabouret, N., Taha, S., & Boulanger, F. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-55245-8_4
Különleges Bánásmód, 2024.10(2)
Folyóirat, S. K. B. (2024) · Különleges Bánásmód - Interdiszciplináris folyóirat · doi:10.18458/kb.2024.2.1
Specification Inference Modulo Oracles for Database-Backed Web Applications
Trivedi, N. J., & Roy, S. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-3585-9_10
Ramírez, P. R. B. (2012) · Dialnet (Universidad de la Rioja)
Metadata
- Authors
- Boutilier, C., & Beche, V.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Boutilier, Craig
- ORCID
- Boutilier, Craig
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1995-08
- Volume
- 77
- Issue
- 1
- Pages
- 43-94
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2074890228
- Cited by
- 118
- References
- 66
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 3 · 2018: 2 · 2017: 3 · 2016: 5 · 2015: 1 · 2014: 5 · 2013: 3 · 2012: 5
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Artificial Intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Keywords
- abduction, belief revision, epistemic states, explanation, nonmonotonic reasoning, explanation preference, normality, plausibility, model-based diagnosis, consistency-based diagnosis
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