Skip to Main content Skip to Navigation
Conference papers

Gradual Semantics Accounting for Similarity between Arguments

Abstract : Argumentation is a reasoning model based on the justification of claims by arguments. Often, arguments to be considered are not completely independent, two arguments can be related for different reasons, they may overlap, or given by two persons that make similar statements during a debate, but express them differently, etc. This paper studies for the first time the impact of similarity (i.e., when pairs of arguments are related) in the context of gradual evaluation in abstract ar-gumentation. We present principles that a semantics accounting for similarities should satisfy, and show how to extend gradual semantics for this purpose. We propose three original methods to do so, and study their properties. In particular, the new semantics are evaluated with respect to the new principles , and others from the literature.
Document type :
Conference papers
Complete list of metadata

Cited literature [32 references]  Display  Hide  Download
Contributor : Nicolas Maudet Connect in order to contact the contributor
Submitted on : Wednesday, September 12, 2018 - 11:52:39 AM
Last modification on : Monday, July 4, 2022 - 10:16:42 AM
Long-term archiving on: : Thursday, December 13, 2018 - 2:17:21 PM


Files produced by the author(s)


  • HAL Id : hal-01872590, version 1


Leila Amgoud, Elise Bonzon, Jérôme Delobelle, Dragan Doder, Sébastien Konieczny, et al.. Gradual Semantics Accounting for Similarity between Arguments. 16th International Conference on Principles of Knowledge Representation and Reasoning (KR2018), Oct 2018, Tempe, United States. pp.1-10. ⟨hal-01872590⟩



Record views


Files downloads