تقرير
Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentation
| العنوان: | Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentation |
|---|---|
| المؤلفون: | Alviano, Mario, Giordano, Laura, Dupré, Daniele Theseider |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Artificial Intelligence, I.2.4 |
| الوصف: | In this paper we propose a general approach to define a many-valued preferential interpretation of gradual argumentation semantics. The approach allows for conditional reasoning over arguments and boolean combination of arguments, with respect to a class of gradual semantics, through the verification of graded (strict or defeasible) implications over a preferential interpretation. As a proof of concept, in the finitely-valued case, an Answer set Programming approach is proposed for conditional reasoning in a many-valued argumentation semantics of weighted argumentation graphs. The paper also develops and discusses a probabilistic semantics for gradual argumentation, which builds on the many-valued conditional semantics. Comment: 17 pages, 1 figure |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2212.07523 |
| رقم الأكسشن: | edsarx.2212.07523 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |