Configuring Multiple Instances with Multi-Configuration

Alexander Felfernig, Mathias Uta, Andrei Popescu, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Trang Tran

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

Abstract

Configuration is a successful application area of Artificial Intelligence. In the majority of the cases, configuration systems focus on configuring one solution (configuration) that satisfies the preferences of a single user or a group of users. In this paper, we introduce a new configuration approach – multi-configuration – that focuses on scenarios where the outcome of a configuration process is a set of configurations. Example applications thereof are the configuration of personalized exams for individual students, the configuration of project teams, reviewer-to-paper assignment, and hotel room assignments including individualized city trips for tourist groups. For multi-configuration scenarios, we exemplify a constraint satisfaction problem representation in the context of configuring exams. The paper is concluded with a discussion of open issues for future work.
Original languageEnglish
Title of host publicationProceedings of the 23rd International Configuration Workshop (CWS/ConfWS 2021)
EditorsMichel Aldanondo, Andreas Falkner, Alexander Felfernig, Martin Stettinger
Pages45-47
Number of pages3
Volume2945
ISBN (Electronic)1613-0073
Publication statusPublished - 17 Sep 2021
Event23rd International Configuration Workshop: ConfWS 2021 - Conference Center of Siemens City Vienna (Siemensstraße 90, 1210 Wien), Vienna, Austria
Duration: 16 Sep 202117 Sep 2021
https://confws21.ist.tugraz.at

Publication series

NameCEUR Workshop Proceedings
Volume2945
ISSN (Electronic)1613-0073

Conference

Conference23rd International Configuration Workshop
Abbreviated titleConfWS 2021
Country/TerritoryAustria
CityVienna
Period16/09/2117/09/21
Internet address

ASJC Scopus subject areas

  • Computer Science(all)

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