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Configuring Multiple Instances with Multi-Configuration
Configuring Multiple Instances with Multi-Configuration
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Configuring Multiple Instances with Multi-Configuration
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Configuring Multiple Instances with Multi-Configuration
Configuring Multiple Instances with Multi-Configuration

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Configuring Multiple Instances with Multi-Configuration
Configuring Multiple Instances with Multi-Configuration
Paper

Configuring Multiple Instances with Multi-Configuration

2021
Request Book From Autostore and Choose the Collection Method
Overview
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.
Publisher
Cornell University Library, arXiv.org