Configuring Multiple Instances with Multi-Configuration

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

arXiv · 2109.09696

Configuring Multiple Instances with Multi-Configuration

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

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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.

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Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat-Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran. 2021-09-20. Configuring Multiple Instances with Multi-Configuration. https://arxiv.org/abs/2109.09696

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