Necessary and Sufficient Explanations for Argumentation-Based Conclusions

AnneMarie Borg; Floris Bex

doi:10.1007/978-3-030-86772-0_4

Necessary and Sufficient Explanations for Argumentation-Based Conclusions

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper, we discuss necessary and sufficient explanations – the question whether and why a certain argument or claim can be accepted (or not) – for abstract and structured argumentation. Given a framework with which explanations for argumentation-based conclusions can be derived, we study necessity and sufficiency: what (sets of) arguments are necessary or sufficient for the (non-)acceptance of an argument or claim? We will show that necessary and sufficient explanations can be strictly smaller than minimal explanations, while still providing all the reasons for a conclusion and we discuss their usefulness in a real-life application.

Original language	English
Title of host publication	Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021.
Editors	Jirina Vejnarová, Nic Wilson
Publisher	Springer
Pages	45-58
Number of pages	14
ISBN (Electronic)	9783030867720
ISBN (Print)	9783030867713
DOIs	https://doi.org/10.1007/978-3-030-86772-0_4
Publication status	Published - 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12897 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Funding Information:
This research has been partly funded by the Dutch Ministry of Justice and the Dutch National Police.

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Computational argumentation
Explainable artificial intelligence
Structured argumentation

Access to Document

10.1007/978-3-030-86772-0_4

Borg-Bex2021_Chapter_NecessaryAndSufficientExplanatFinal published version, 296 KBLicence: Taverne

Cite this

Borg, A., & Bex, F. (2021). Necessary and Sufficient Explanations for Argumentation-Based Conclusions. In J. Vejnarová, & N. Wilson (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021. (pp. 45-58). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12897 LNAI). Springer. https://doi.org/10.1007/978-3-030-86772-0_4

Borg, AnneMarie ; Bex, Floris. / Necessary and Sufficient Explanations for Argumentation-Based Conclusions. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021.. editor / Jirina Vejnarová ; Nic Wilson. Springer, 2021. pp. 45-58 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Borg, A & Bex, F 2021, Necessary and Sufficient Explanations for Argumentation-Based Conclusions. in J Vejnarová & N Wilson (eds), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12897 LNAI, Springer, pp. 45-58. https://doi.org/10.1007/978-3-030-86772-0_4

Necessary and Sufficient Explanations for Argumentation-Based Conclusions. / Borg, AnneMarie ; Bex, Floris.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021.. ed. / Jirina Vejnarová; Nic Wilson. Springer, 2021. p. 45-58 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12897 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Borg A , Bex F. Necessary and Sufficient Explanations for Argumentation-Based Conclusions. In Vejnarová J, Wilson N, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021.. Springer. 2021. p. 45-58. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-86772-0_4

Necessary and Sufficient Explanations for Argumentation-Based Conclusions

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