Contrastive Explanations for Argumentation-Based Conclusions.
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Publication date
2022
Authors
Borg, AnneMarie
Bex, Floris
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taverne
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, Taverne, Artificial Intelligence, Software, Control and Systems Engineering
Citation
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