Search
 
loader loading subjects...
cover
Viewpoints Using Ranking-Based Argumentation Semantics
Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert
381 - 392
10.3233/978-1-61499-906-5-381
Frontiers in Artificial Intelligence and Applications
Volume 305: Computational Models of Argument
Abstract

To address the needs of the EU NoAW project, in this paper we introduce a new modular framework that generates viewpoints (i.e. extensions) based on ranking argumentation semantics by considering a selection function, a ranking on arguments and a lifting function as its input parameters. We study the different combinations of the input parameters and introduce a set of postulates investigated for the framework's different classes of output.

Download
Creative Commons License