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A Basic Framework for Explanations in Argumentation.

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Title: A Basic Framework for Explanations in Argumentation.
Authors: Borg, AnneMarie1 (AUTHOR), Bex, Floris1 (AUTHOR)
Source: IEEE Intelligent Systems. Mar/Apr2021, Vol. 36 Issue 2, p25-35. 11p.
Subjects: Knowledge representation (Information theory), Knowledge base, Nonmonotonic logic, Explanation, Artificial intelligence
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Intelligent Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A Basic Framework for Explanations in Argumentation.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IEEE Intelligent Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/MIS.2021.3053102
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        Text: English
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      – SubjectFull: Knowledge base
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      – SubjectFull: Nonmonotonic logic
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      – SubjectFull: Explanation
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              Text: Mar/Apr2021
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