Configuring Multiple Instances with Multi-Configuration
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.
Cite
@article{arxiv.2109.09696,
title = {Configuring Multiple Instances with Multi-Configuration},
author = {Alexander Felfernig and Andrei Popescu and Mathias Uta and Viet-Man Le and Seda Polat-Erdeniz and Martin Stettinger and Müslüm Atas and Thi Ngoc Trang Tran},
journal= {arXiv preprint arXiv:2109.09696},
year = {2021}
}
Comments
Cite as: A. Felfernig, A. Popescu, M. Uta, V.M. Le, S.P. Erdeniz, M. Stettinger, M. Atas, and T.N.T. Tran. Configuring Multiple Instances with Multi-Configuration. 23rd International Configuration Workshop, Vienna, Austria, CEUR, vol. 2945, pp. 45-47, 2021