Argumentation-based preference modelling with incomplete information

Wietske Visser*, Koen V. Hindriks, Catholijn M. Jonker

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


No intelligent decision support system functions even remotely without knowing the preferences of the user. A major problem is that the way average users think about and formulate their preferences does not match the utility-based quantitative frameworks currently used in decision support systems. For the average user qualitative models are a better fit. This paper presents an argumentation-based framework for the modelling of, and automated reasoning about multi-issue preferences of a qualitative nature. The framework presents preferences according to the lexicographic ordering that is well-understood by humans. The main contribution of the paper is that it shows how to reason about preferences when only incomplete information is available. An adequate strategy is proposed that allows reasoning with incomplete information and it is shown how to incorporate this strategy into the argumentation-based framework for modelling preferences.

Original languageEnglish
Title of host publicationComputational Logic in Multi-Agent Systems - 10th International Workshop, CLIMA X, Revised Selected and Invited Papers
Number of pages17
Publication statusPublished - 15 Dec 2010
Externally publishedYes
Event10th International Workshop on Computational Logic in Multi-Agent Systems, CLIMA-X 2009 - Hamburg, Germany
Duration: 9 Sept 200910 Sept 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6214 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Workshop on Computational Logic in Multi-Agent Systems, CLIMA-X 2009


  • Argumentation
  • Incomplete Information
  • Qualitative Preferences


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