A Comparative Study of Ranking-based Semantics for Abstract Argumentation

February 02, 2016 Β· Declared Dead Β· πŸ› AAAI Conference on Artificial Intelligence

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Authors Elise Bonzon, JΓ©rΓ΄me Delobelle, SΓ©bastien Konieczny, Nicolas Maudet arXiv ID 1602.01059 Category cs.AI: Artificial Intelligence Citations 162 Venue AAAI Conference on Artificial Intelligence Last Checked 4 months ago
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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