Why P rather than Q? The curiosities of fact and foil
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Laugel et al. enhance the work on justified counterfactual explanations.
“Laugel et al. [100] enhance the work on justified counterfactual explanations.”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [100]
Laugel et al. argue that the distance from the test instance to a counterfactual does not sufficiently measure counterfactual's relevance, as the counterfactual in question may appear disconnected from the ground-truth data.
“They argue that the distance from the test instance to a counterfactual does not sufficiently measure counterfactual's relevance, as the counterfactual in question may appear disconnected from the ground-truth data.”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [100]
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- Authors
- Barnes, E.
- Affiliations
- Denison University (US)
- Corresponding author
- Barnes, Eric
- ORCID
- Barnes, Eric
- Venue
- Philosophical Studies
- Published
- 1994-01
- Volume
- 73
- Issue
- 1
- Pages
- 35-53
- ISSN
- 0031-8116 (ISSN-L)
- 1573-0883
- OpenAlex
- W2056731703
- Cited by
- 33
- References
- 21
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 6 · 2020: 1 · 2017: 3 · 2016: 3
- FWCI
- 7.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Philosophical Studies (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy, Science, and History
- Keywords
- contrastive explanations, causal history, Lipton, temples, Garfinkel, Sober
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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