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 | |
| 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
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