Goal-based qualitative preference systems

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

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

Abstract

Goals are not only used to identify desired states or outcomes, but may also be used to derive qualitative preferences between outcomes. We show that Qualitative Preference Systems (QPSs) provide a general, flexible and succinct way to represent preferences based on goals. If the domain is not Boolean, preferences are often based on orderings on the possible values of variables. We show that QPSs that are based on such multi-valued criteria can be translated into equivalent goal-based QPSs that are just as succinct. Finally, we show that goalbased QPSs allow for more fine-grained updates than their multi-valued counterparts. These results show that goals are very expressive as a representation of qualitative preferences and moreover, that there are certain advantages of using goals instead of multi-valued criteria.

Original languageEnglish
Title of host publicationDeclarative Agent Languages and Technologies X - 10th International Workshop, DALT 2012, Revised Selected Papers
Pages153-169
Number of pages17
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
Event10th International Workshop on Declarative Agent Languages and Technologies X, DALT 2012 - Valencia, Spain
Duration: 4 Jun 20124 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7784 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Declarative Agent Languages and Technologies X, DALT 2012
CountrySpain
CityValencia
Period4/06/124/06/12

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Keywords

  • Goals
  • Qualitative multi-criteria preferences

Cite this

Visser, W., Hindriks, K. V., & Jonker, C. M. (2013). Goal-based qualitative preference systems. In Declarative Agent Languages and Technologies X - 10th International Workshop, DALT 2012, Revised Selected Papers (pp. 153-169). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7784 LNAI). https://doi.org/10.1007/978-3-642-37890-4_9
Visser, Wietske ; Hindriks, Koen V. ; Jonker, Catholijn M. / Goal-based qualitative preference systems. Declarative Agent Languages and Technologies X - 10th International Workshop, DALT 2012, Revised Selected Papers. 2013. pp. 153-169 (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 2013, Goal-based qualitative preference systems. in Declarative Agent Languages and Technologies X - 10th International Workshop, DALT 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7784 LNAI, pp. 153-169, 10th International Workshop on Declarative Agent Languages and Technologies X, DALT 2012, Valencia, Spain, 4/06/12. https://doi.org/10.1007/978-3-642-37890-4_9

Goal-based qualitative preference systems. / Visser, Wietske; Hindriks, Koen V.; Jonker, Catholijn M.

Declarative Agent Languages and Technologies X - 10th International Workshop, DALT 2012, Revised Selected Papers. 2013. p. 153-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7784 LNAI).

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

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Visser W, Hindriks KV, Jonker CM. Goal-based qualitative preference systems. In Declarative Agent Languages and Technologies X - 10th International Workshop, DALT 2012, Revised Selected Papers. 2013. p. 153-169. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-37890-4_9