CP-Nets, π-pref Nets, and Pareto Dominance

  • Nic Wilson
  • , Didier Dubois
  • , Henri Prade

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Two approaches have been proposed for the graphical handling of qualitative conditional preferences between solutions described in terms of a finite set of features: Conditional Preference networks (CP-nets for short) and more recently, Possibilistic Preference networks (π-pref nets for short). The latter agree with Pareto dominance, in the sense that if a solution violates a subset of preferences violated by another one, the former solution is preferred to the latter one. Although such an agreement might be considered as a basic requirement, it was only conjectured to hold as well for CP-nets. This non-trivial result is established in the paper. Moreover it has important consequences for showing that π-pref nets can at least approximately mimic CP-nets by adding explicit constraints between symbolic weights encoding the ceteris paribus preferences, in case of Boolean features. We further show that dominance with respect to the extended π-pref nets is polynomial.

Original languageEnglish
Title of host publicationScalable Uncertainty Management - 13th International Conference, SUM 2019, Proceedings
EditorsNahla Ben Amor, Benjamin Quost, Martin Theobald
PublisherSpringer
Pages169-183
Number of pages15
ISBN (Print)9783030355135
DOIs
Publication statusPublished - 2019
Event13th International Conference on Scalable Uncertainty Management, SUM 2019 - Compiègne, France
Duration: 16 Dec 201918 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11940 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Scalable Uncertainty Management, SUM 2019
Country/TerritoryFrance
CityCompiègne
Period16/12/1918/12/19

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