Information based argumentation heuristics

Nir Oren*, Timothy J. Norman, Alun Preece

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)


While researchers have looked at many aspects of argumentation, an area often neglected is that of argumentation strategies. That is, given multiple possible arguments that an agent can put forth, which should be selected in what circumstances. In this paper, we propose two related heuristics that allow an agent to select what utterances to make. The first involves minimising the amount of information revealed in the course of a dialogue. The second heuristic assigns a utility cost to revealing information, as well as a utility to winning, drawing and losing an argument. An agent participating in a dialogue then attempts to maximise its utility. We present a formal argumentation framework in which these heuristics may operate, and show how they function within the framework. Finally, we discuss extensions to the heuristics, and their relevance to argumentation theory in general.

Original languageEnglish
Title of host publicationArgumentation in Multi-Agent Systems - Third International Workshop, ArgMAS 2006, Revised Selected and Invited Papers
EditorsNicolas Maudet
Number of pages24
ISBN (Print)354075525X, 9783540755258
Publication statusPublished - 1 Dec 2007
Event3rd International Workshop on Argumentation in Multiagent Systems, ArgMAS 2006 - Hakodate, Japan
Duration: 8 May 20068 May 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4766 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Workshop on Argumentation in Multiagent Systems, ArgMAS 2006


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