Abstract
We discuss explanations for formal (abstract and structured) argumentation – the question whether and why a certain argument or claim can be accepted (or not) under various extension-based semantics. We introduce a flexible framework, which can act as the basis for many different types of explanations. For example, we can have simple or comprehensive explanations in terms of arguments for or against a claim, arguments that (indirectly) defend a claim, the evidence (knowledge base) that supports or is incompatible with a claim, and so on. We show how selection based on necessity and sufficiency can be captured in our basic framework and discuss a real-life application.
| Original language | English |
|---|---|
| Article number | 109143 |
| Number of pages | 50 |
| Journal | International Journal of Approximate Reasoning |
| Volume | 168 |
| DOIs | |
| Publication status | Published - May 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s)
Funding
This research has been partly funded by the Dutch Ministry of Justice and the Netherlands Police .
| Funders |
|---|
| Dutch Ministry of Justice |
| Netherlands Police |
Keywords
- AI and law
- Explainable artificial intelligence
- Formal argumentation
- Structured argumentation frameworks
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