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arXiv:1908.07784cs.AI

Implementing Ranking-Based Semantics in ConArg: a Preliminary Report

Stafano Bistarelli, Francesco Faloci, Carlo Taticchi

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Abstract

ConArg is a suite of tools that offers a wide series of applications for dealing with argumentation problems. In this work, we present the advances we made in implementing a ranking-based semantics, based on computational choice power indexes, within ConArg. Such kind of semantics represents a method for sorting the arguments of an abstract argumentation framework, according to some preference relation. The ranking-based semantics we implement relies on Shapley, Banzhaf, Deegan-Packel and Johnston power index, transferring well know properties from computational social choice to argumentation framework ranking-based semantics.

arXiv comments
10 pages, 10 figures, 4 tables
Journal reference
Proceedings of ICTAI 2019
DOI
doi:10.1109/ICTAI.2019.00163
Subjects
cs.AIArtificial Intelligence

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