A Comparative Study of Ranking-based Semantics for Abstract Argumentation
Elise Bonzon (LIPADE), J\'er\^ome Delobelle (CRIL), S\'ebastien, Konieczny (CRIL), Nicolas Maudet (LIP6)

TL;DR
This paper provides a comprehensive comparison of various ranking-based semantics for abstract argumentation, analyzing their properties and behaviors to highlight differences among existing approaches.
Contribution
It offers the first broad comparative analysis of multiple ranking-based semantics in abstract argumentation, focusing on their properties and behavioral distinctions.
Findings
Different semantics exhibit varied property satisfaction
Some semantics outperform others in ranking consistency
Behavioral differences impact argument evaluation outcomes
Abstract
Argumentation is a process of evaluating and comparing a set of arguments. A way to compare them consists in using a ranking-based semantics which rank-order arguments from the most to the least acceptable ones. Recently, a number of such semantics have been proposed independently, often associated with some desirable properties. However, there is no comparative study which takes a broader perspective. This is what we propose in this work. We provide a general comparison of all these semantics with respect to the proposed properties. That allows to underline the differences of behavior between the existing semantics.
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Semantic Web and Ontologies · Service-Oriented Architecture and Web Services
