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Argument Revision

Argument Revision

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Original languageEnglish
Article numberexw028
Pages (from-to)2089-2134
Number of pages46
JournalJournal of Logic and Computation
Volume27
Issue number7
Early online date13 Sep 2016
DOIs
StatePublished - 13 Sep 2016

Abstract

Understanding the dynamics of argumentation systems is a crucial component in the de-velopment of computational models of argument that are used as representations of belief. To that end, in this paper, we introduce a model of Argument Revision, presented in terms of the contraction and revision of a system of structured argumentation. Argument Revi-sion is influenced by the AGM model of belief revision, but with certain key differences. Firstly, Argument Revision involves modifying the underlying model (system of argumen-tation) from which beliefs are derived, allowing for a finer-grained approach to modifying beliefs. Secondly, the richer structure provided by a system of argumentation permits a determination of minimal change based on quantifiable effects on the system as opposed to qualitative criteria such as entrenchment orderings. Argument Revision does, however, retain a close link to the AGM approach to belief revision. A basic set of postulates for rational revisions and contractions in Argument Revision is proposed; these postulates are influenced by, and capture the spirit of, those found in AGM belief revision. After specifying a determination of minimal change, based on measurable effects on the system, we conclude the paper by going on to show how Argument Revision can be used as a strategic tool by a participant in a multi-agent dialogue, assisting with commitment retraction and dishonesty. In systems of argumentation that contain even small knowledge bases, it is difficult for a dialogue participant to fully assess the impact of seemingly trivial changes to that knowledge base, or other parts of the system; we demonstrate, by means of an example, that Argument Revision solves this problem through a determination of minimal change that is justifiable and intuitive.

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    © The Author, 2016. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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