Contrastive Explanations for Argumentation-Based Conclusions.

AnneMarie Borg; Floris Bex

doi:10.5555/3535850.3536031

Contrastive Explanations for Argumentation-Based Conclusions.

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

Abstract

In this paper we discuss contrastive explanations for formal argumentation – the question why one argument (the fact) can be accepted, whilst another argument (the foil) cannot be accepted. We show under which conditions contrastive explanations in abstract argumentation are meaningful, and how argumentation allows us to make implicit foils explicit.

Original language	English
Title of host publication	AAMAS '22
Subtitle of host publication	Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems
Publisher	Association for Computing Machinery
Pages	1551-1553
Number of pages	3
ISBN (Print)	978-1-4503-9213-6
DOIs	https://doi.org/10.5555/3535850.3536031
Publication status	Published - 2022

Publication series

Name	Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume	3
ISSN (Print)	1548-8403
ISSN (Electronic)	1558-2914

Bibliographical note

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

Publisher Copyright:
© 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

Keywords

Explainable Artificial Intelligence
Formal Argumentation

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10.5555/3535850.3536031

p1551Final published version, 852 KBLicence: Taverne

Cite this

Borg, A., & Bex, F. (2022). Contrastive Explanations for Argumentation-Based Conclusions. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (pp. 1551-1553). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 3). Association for Computing Machinery. https://doi.org/10.5555/3535850.3536031

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title = "Contrastive Explanations for Argumentation-Based Conclusions.",

abstract = "In this paper we discuss contrastive explanations for formal argumentation – the question why one argument (the fact) can be accepted, whilst another argument (the foil) cannot be accepted. We show under which conditions contrastive explanations in abstract argumentation are meaningful, and how argumentation allows us to make implicit foils explicit.",

keywords = "Explainable Artificial Intelligence, Formal Argumentation",

author = "AnneMarie Borg and Floris Bex",

note = "Funding Information: Acknowledgements. This research has been partly funded by the Dutch Ministry of Justice and the Netherlands Police. Publisher Copyright: {\textcopyright} 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.",

year = "2022",

doi = "10.5555/3535850.3536031",

language = "English",

isbn = "978-1-4503-9213-6",

series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",

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Borg, A & Bex, F 2022, Contrastive Explanations for Argumentation-Based Conclusions. in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 3, Association for Computing Machinery, pp. 1551-1553. https://doi.org/10.5555/3535850.3536031

Contrastive Explanations for Argumentation-Based Conclusions. / Borg, AnneMarie ; Bex, Floris.
AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. Association for Computing Machinery, 2022. p. 1551-1553 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 3).

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

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AU - Bex, Floris

N1 - Funding Information: Acknowledgements. This research has been partly funded by the Dutch Ministry of Justice and the Netherlands Police. Publisher Copyright: © 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

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N2 - In this paper we discuss contrastive explanations for formal argumentation – the question why one argument (the fact) can be accepted, whilst another argument (the foil) cannot be accepted. We show under which conditions contrastive explanations in abstract argumentation are meaningful, and how argumentation allows us to make implicit foils explicit.

AB - In this paper we discuss contrastive explanations for formal argumentation – the question why one argument (the fact) can be accepted, whilst another argument (the foil) cannot be accepted. We show under which conditions contrastive explanations in abstract argumentation are meaningful, and how argumentation allows us to make implicit foils explicit.

KW - Explainable Artificial Intelligence

KW - Formal Argumentation

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M3 - Conference contribution

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Borg A , Bex F. Contrastive Explanations for Argumentation-Based Conclusions. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. Association for Computing Machinery. 2022. p. 1551-1553. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS). doi: 10.5555/3535850.3536031

Contrastive Explanations for Argumentation-Based Conclusions.

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Keywords

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