.png){kind=icon}
.png){kind=icon}
Return
A Basic Framework for Explanations in Argumentation
.png){kind=icon}
OA
AI
DOI：10.1109/MIS.2020.3044944.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We discuss explanations for formal (abstract and structured) argumentation-the question of 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 different types of explanations can be captured in our basic framework, discuss a real-life application and formally compare our framework to existing work.
Keywords:
Semantics
Knowledge based systems
Intelligent systems
Machine learning algorithms
Law enforcement
Knowledge representation
Augmented reality
Artificial intelligence
knowledge representation formalisms and methods
nonmonotonic reasoning and belief revision
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.