Committee selection with multimodal preferences

Pallavi Jain, Nimrod Talmon

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

4 Scopus citations

Abstract

We study committee selection with multimodal preferences: Assuming a set of candidates A, a set of voters V, and layers, where each voter v V has ordinal preferences over the alternatives for each layer separately, the task is to select a committee S A of size k. We discuss applications of our model and study the computational complexity of several generalizations of known committee scoring rules (specifically, k-Borda and Chamberlin-Courant) to our setting, as well as discuss domain restrictions for our model. While most problems we encounter are computationally intractable in general, we nevertheless design efficient algorithms for certain cases.

Original languageEnglish
Title of host publicationECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings
EditorsGiuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senen Barro, Alberto Bugarin, Jerome Lang
PublisherIOS Press BV
Pages123-130
Number of pages8
ISBN (Electronic)9781643681009
DOIs
StatePublished - 24 Aug 2020
Event24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Santiago de Compostela, Online, Spain
Duration: 29 Aug 20208 Sep 2020

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume325
ISSN (Print)0922-6389

Conference

Conference24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020
Country/TerritorySpain
CitySantiago de Compostela, Online
Period29/08/208/09/20

ASJC Scopus subject areas

  • Artificial Intelligence

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