An Inferential Account of Model Explanation

Fang, Wei

doi:10.1007/s11406-018-9958-9

Cited by 20Philosophy of Biology and Scientific ExplanationLogic and Philosophy of SciencePhilosophy and Theoretical Science

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An Inferential Account of Model Explanation

Fang, Wei·2019·Philosophia

DOI 10.1007/s11406-018-9958-9

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Kanehira et al. train a post-hoc explanatory model to justify a video classifier's output [91].
“Alternatively, Kanehira et al. train a post-hoc explanatory model to justify a video classifier's output [91].”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [91]
In Kanehira et al.'s framework [91], a counterfactual explanation is dependent on how likely a selected region in the given frame is classified positive and not negative, hence all such regions are scored and normalized.
“A counterfactual explanation is, in this case, dependent on how likely a selected region in the given frame is classified positive and not negative, hence all such regions are scored and normalized.”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [91]
Visual-linguistic counterfactual explanations identify counterfactuality in videos.
“In addition, visual-linguistic explanations identify counterfactuality in videos [91]”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [91]
A number of the frameworks are evaluated by means of accuracy-based metrics.
“A number of the frameworks are evaluated by means of accuracy-based metrics [61], [91], [94], [159].”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [91]

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Sorted by citations

A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence
Stepin, I., Alonso, J. M., Catala, A., & Pereira-Farina, M. (2021) · IEEE Access · doi:10.1109/access.2021.3051315 · Cited by 376
“Also, Fang infers counterfactual dependencies in the form of counterfactual claims: ‘‘in the model M , had the variable X taken such-and-such a value x i , then the variable Y would have taken such-and-such a value y j ’’ [79].”
Background
Scientific understanding and felicitous legitimate falsehoods
Lawler, I. (2019) · Synthese · doi:10.1007/s11229-019-02495-0 · Cited by 55
Model Explanation Versus Model-Induced Explanation
Lawler, I., & Sullivan, E. (2020) · Foundations of Science · doi:10.1007/s10699-020-09649-1 · Cited by 17
Rules to Infinity
Povich, M. (2024) · doi:10.1093/oso/9780197679005.001.0001 · Cited by 3
Resolving and Understanding Differences Between Agent-Based Accounts of Scientific Representation
Boesch, B. (2019) · Journal for General Philosophy of Science · doi:10.1007/s10838-019-09442-0 · Cited by 3
Distinctively Mathematical Explanation
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0002 · Cited by 1
Introduction to the synthese topical collection ‘modal modeling in science: modal epistemology meets philosophy of science’
Wirling, Y. S., & Grüne‐Yanoff, T. (2023) · Synthese · doi:10.1007/s11229-023-04188-1 · Cited by 1
Skill Transmittance in Science Education
Boesch, B. (2019) · Science & Education · doi:10.1007/s11191-018-0020-x
Do fictions explain?
Nguyen, J. (2020) · Synthese · doi:10.1007/s11229-020-02931-6
Conclusion
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0009
Renormalization Group Explanation
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0003
Preface
Povich, M. (2024) · doi:10.1093/oso/9780197679005.002.0006
Normativism and Its Rivals
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0008
Dedication
Povich, M. (2024) · doi:10.1093/oso/9780197679005.002.0004
Deflating the Narrow Ontic Counterfactual Account
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0005
Semantics, Metasemantics, and Function
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0006
The Content of a Mathematical Model
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0007
The Narrow Ontic Counterfactual Account
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0004
Introduction
Povich, M. (2024) · doi:10.1093/oso/9780197679005.003.0001
Copyright Page
Povich, M. (2024) · doi:10.1093/oso/9780197679005.002.0003

Authors: Fang, W.
Affiliations: Tongji University (CN)
Corresponding author: Fang, Wei
ORCID: Fang, Wei
Venue: Philosophia
Publisher: Springer Science and Business Media LLC
Published: 2018-03-08
Volume: 47
Issue: 1
Pages: 99-116
ISSN: 0048-3893 (ISSN-L)
1574-9274
DOI: 10.1007/s11406-018-9958-9
OpenAlex: W2791542748
Cited by: 20
References: 78
Citations by year: 2024: 13 · 2023: 1 · 2021: 1 · 2020: 2 · 2019: 3
FWCI: 7.27
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Philosophia (publishedVersion)
PhilSci-Archive (University of Pittsburgh) (acceptedVersion)
PhilPapers (PhilPapers Foundation) (submittedVersion)
Funders: National Social Science Fund of China (14ZDB018)
Topics: Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
Social Sciences › Arts and Humanities › History and Philosophy of Science › Logic and Philosophy of Science
Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
Keywords: model explanation, scientific representation, counterfactual reasoning, hypothetical reasoning, agent-based modeling

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