Argumentation Theory provides tools for both modelling and reasoning with controversial information and is a methodology that is often used as a way to give explanations to results provided using machine learning techniques. In this context, labelling-based semantics for Abstract Argumentation Frameworks (AFs) allow for establishing the acceptability of sets of arguments, dividing them into three partitions: in, out and undecidable (instead of classical Dung acceptable and not acceptable sets). This kind of semantics have been studied only for classical AFs, while the more powerful weighted and preference-based frameworks have not been studied yet. In this paper, we define a novel labelling semantics for Weighted Argumentation Frameworks (WAFs), extending and generalizing the crisp one, and we provide some insights towards a definition of strong admissibility for WAFs.

A Labelling Semantics and Strong Admissibility for Weighted Argumentation Frameworks

Bistarelli S.;Taticchi C.
2022

Abstract

Argumentation Theory provides tools for both modelling and reasoning with controversial information and is a methodology that is often used as a way to give explanations to results provided using machine learning techniques. In this context, labelling-based semantics for Abstract Argumentation Frameworks (AFs) allow for establishing the acceptability of sets of arguments, dividing them into three partitions: in, out and undecidable (instead of classical Dung acceptable and not acceptable sets). This kind of semantics have been studied only for classical AFs, while the more powerful weighted and preference-based frameworks have not been studied yet. In this paper, we define a novel labelling semantics for Weighted Argumentation Frameworks (WAFs), extending and generalizing the crisp one, and we provide some insights towards a definition of strong admissibility for WAFs.
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1507578
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