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A Parametrized Ranking-Based Semantics for Persuasion

  • Elise Bonzon
  • Jérôme Delobelle
  • Sébastien Konieczny
  • Nicolas Maudet
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10564)

Abstract

In this paper we question the ability of the existant ranking semantics for argumentation to capture persuasion settings, emphasizing in particular the phenomena of protocatalepsis (the fact that it is often efficient to anticipate the counter-arguments of the audience), and of fading (the fact that long lines of argumentation become ineffective). It turns out that some widely accepted principles of ranking-based semantics are incompatible with a faithful treatment of these phenomena. We thus propose a parametrized semantics based on propagation of values, which allows to control the scope of arguments to be considered for evaluation. We investigate its properties (identifying in particular threshold values guaranteeing that some properties hold), and report experimental results showing that the family of rankings that may be returned have a high coherence rate.

Keywords

Argumentation Persuasion Ranking semantics 

Notes

Acknowledgements

This work benefited from the support of the project AMANDE ANR-13-BS02-0004 of the French National Research Agency (ANR).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Elise Bonzon
    • 1
  • Jérôme Delobelle
    • 2
  • Sébastien Konieczny
    • 2
  • Nicolas Maudet
    • 3
  1. 1.LIPADEUniversité Paris DescartesParisFrance
  2. 2.CRILCNRS - Université d’ArtoisLensFrance
  3. 3.Sorbonne Universités, UPMC Univ Paris 06, CNRS - LIP6, UMR 7606ParisFrance

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