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An action language-based formalisation of an abstract argumentation framework

Yann Munro, Camilo Sarmiento, Isabelle Bloch, Gauvain Bourgne, Catherine Pelachaud, Marie-Jeanne Lesot

TL;DR

A new framework for modelling abstract argumentation graphs is proposed, a model that incorporates the order of enunciation of arguments, and a modification of the previous transformation based on a "last enunciated last updated"strategy is proposed, which verifies the second form of completeness.

Abstract

An abstract argumentation framework is a commonly used formalism to provide a static representation of a dialogue. However, the order of enunciation of the arguments in an argumentative dialogue is very important and can affect the outcome of this dialogue. In this paper, we propose a new framework for modelling abstract argumentation graphs, a model that incorporates the order of enunciation of arguments. By taking this order into account, we have the means to deduce a unique outcome for each dialogue, called an extension. We also establish several properties, such as termination and correctness, and discuss two notions of completeness. In particular, we propose a modification of the previous transformation based on a "last enunciated last updated" strategy, which verifies the second form of completeness.

An action language-based formalisation of an abstract argumentation framework

TL;DR

A new framework for modelling abstract argumentation graphs is proposed, a model that incorporates the order of enunciation of arguments, and a modification of the previous transformation based on a "last enunciated last updated"strategy is proposed, which verifies the second form of completeness.

Abstract

An abstract argumentation framework is a commonly used formalism to provide a static representation of a dialogue. However, the order of enunciation of the arguments in an argumentative dialogue is very important and can affect the outcome of this dialogue. In this paper, we propose a new framework for modelling abstract argumentation graphs, a model that incorporates the order of enunciation of arguments. By taking this order into account, we have the means to deduce a unique outcome for each dialogue, called an extension. We also establish several properties, such as termination and correctness, and discuss two notions of completeness. In particular, we propose a modification of the previous transformation based on a "last enunciated last updated" strategy, which verifies the second form of completeness.
Paper Structure (8 sections, 1 figure)

This paper contains 8 sections, 1 figure.

Figures (1)

  • Figure 1: Argumentation graph associated with Example \ref{['ex:IRM_ou_radio']}.