Configuring Multiple Instances with Multi-Configuration

• URL: http://arxiv.org/abs/2109.09696v1
• Date: Mon, 20 Sep 2021 17:04:56 GMT
• Title: Configuring Multiple Instances with Multi-Configuration
• Authors: Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat-Erdeniz, Martin Stettinger, M\"usl\"um Atas, and Thi Ngoc Trang Tran
• Abstract summary: 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. For multi-configuration scenarios, we exemplify a constraint satisfaction problem representation in the context of configuring exams.
• Score: 48.98522706358725
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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