Implementing Ranking-Based Semantics in ConArg: a Preliminary Report

08/21/2019
by   Stafano Bistarelli, et al.
0

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.

READ FULL TEXT
research
08/21/2019

Technical Report on Implementing Ranking-Based Semantics in ConArg

ConArg is a suite of tools that offers a wide series of applications for...
research
08/05/2020

Towards Ranking-based Semantics for Abstract Argumentation using Conditional Logic Semantics

We propose a novel ranking-based semantics for Dung-style argumentation ...
research
02/02/2016

A Comparative Study of Ranking-based Semantics for Abstract Argumentation

Argumentation is a process of evaluating and comparing a set of argument...
research
02/01/2022

The Inverse Problem for Argumentation Gradual Semantics

Gradual semantics with abstract argumentation provide each argument with...
research
03/02/2022

Analytical Solutions for the Inverse Problem within Gradual Semantics

Gradual semantics within abstract argumentation associate a numeric scor...
research
09/07/2021

Fudge: A light-weight solver for abstract argumentation based on SAT reductions

We present Fudge, an abstract argumentation solver that tightly integrat...
research
06/16/2014

Argument Ranking with Categoriser Function

Recently, ranking-based semantics is proposed to rank-order arguments fr...

Please sign up or login with your details

Forgot password? Click here to reset