Collective Satisfaction Semantics for Opinion Based Argumentation - Université d'Artois
Communication Dans Un Congrès Année : 2024

Collective Satisfaction Semantics for Opinion Based Argumentation

Résumé

Voting on arguments in a debate is a natural approach for reaching a consensual decision. Despite this, there are few formal methods of abstract argumentation dealing with the use of votes in the process of selecting accepted arguments. We introduce the Opinion Based Argumentation (OBA) framework, where individuals can vote (or abstain) for or against arguments in a Dung argumentation framework. Our research aims to determine the most appropriate collective decisions within this framework. We propose a new semantics for this framework, called Collective Satisfaction Semantics (CSS), to evaluate the acceptability of arguments and study their properties. Additionally, we compare these semantics against alternative methods adapted from related literature to provide insights into their relative effectiveness.

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Dates et versions

hal-04792471 , version 1 (20-11-2024)

Identifiants

Citer

Juliete Rossie, Jérôme Delobelle, Sébastien Konieczny, Clément Lens, Srdjan Vesic. Collective Satisfaction Semantics for Opinion Based Argumentation. 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}, Nov 2024, Hanoi, Vietnam. pp.631-641, ⟨10.24963/kr.2024/59⟩. ⟨hal-04792471⟩
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