Argumentation-based preference modelling with incomplete information

Wietske Visser; Koen V. Hindriks; Catholijn M. Jonker

doi:10.1007/978-3-642-16867-3_8

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 proceeding › Conference contribution › Academic › peer-review

Abstract

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 language	English
Title of host publication	Computational Logic in Multi-Agent Systems - 10th International Workshop, CLIMA X, Revised Selected and Invited Papers
Pages	141-157
Number of pages	17
DOIs	https://doi.org/10.1007/978-3-642-16867-3_8
Publication status	Published - 15 Dec 2010
Externally published	Yes
Event	10th International Workshop on Computational Logic in Multi-Agent Systems, CLIMA-X 2009 - Hamburg, Germany Duration: 9 Sept 2009 → 10 Sept 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6214 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Workshop on Computational Logic in Multi-Agent Systems, CLIMA-X 2009
Country/Territory	Germany
City	Hamburg
Period	9/09/09 → 10/09/09

Funding

This research is supported by the Dutch Technology Foundation STW, applied science division of NWO and the Technology Program of the Ministry of Economic Affairs. It is part of the Pocket Negotiator project with grant number VICI-project 08075.

Keywords

Argumentation
Incomplete Information
Qualitative Preferences

Access to Document

10.1007/978-3-642-16867-3_8

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Cite this

Visser, W., Hindriks, K. V., & Jonker, C. M. (2010). Argumentation-based preference modelling with incomplete information. In Computational Logic in Multi-Agent Systems - 10th International Workshop, CLIMA X, Revised Selected and Invited Papers (pp. 141-157). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6214 LNAI). https://doi.org/10.1007/978-3-642-16867-3_8

Visser, Wietske ; Hindriks, Koen V. ; Jonker, Catholijn M. / Argumentation-based preference modelling with incomplete information. Computational Logic in Multi-Agent Systems - 10th International Workshop, CLIMA X, Revised Selected and Invited Papers. 2010. pp. 141-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Visser, W, Hindriks, KV & Jonker, CM 2010, Argumentation-based preference modelling with incomplete information. in Computational Logic in Multi-Agent Systems - 10th International Workshop, CLIMA X, Revised Selected and Invited Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6214 LNAI, pp. 141-157, 10th International Workshop on Computational Logic in Multi-Agent Systems, CLIMA-X 2009, Hamburg, Germany, 9/09/09. https://doi.org/10.1007/978-3-642-16867-3_8

Argumentation-based preference modelling with incomplete information. / Visser, Wietske; Hindriks, Koen V.; Jonker, Catholijn M.
Computational Logic in Multi-Agent Systems - 10th International Workshop, CLIMA X, Revised Selected and Invited Papers. 2010. p. 141-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6214 LNAI).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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N2 - 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.

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Visser W, Hindriks KV, Jonker CM. Argumentation-based preference modelling with incomplete information. In Computational Logic in Multi-Agent Systems - 10th International Workshop, CLIMA X, Revised Selected and Invited Papers. 2010. p. 141-157. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-16867-3_8

Argumentation-based preference modelling with incomplete information

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