On Learning from Human Expert Knowledge for Automated Scheduling

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Abstract

Automated scheduling systems and decision support tools require at least four kinds of knowledge: 1) domain knowledge, 2) problem instance knowledge, 3) control knowledge, and 4) solving knowledge. This short paper draws attention to learning from human experts for these different kinds of knowledge, and advocates a complementarity of knowledge acquisition by automated techniques and by human knowledge engineers.
Original languageEnglish
Title of host publicationProceedings of the ICAPS'18 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS'18)
Place of PublicationDelft, Netherlands
Pages3-5
Publication statusPublished - Jun 2018
Event28th International Conference on Automated Planning and Scheduling: KEPS 2018 - Delft, Delft, Netherlands
Duration: 24 Jun 201829 Jun 2018
Conference number: 28
http://www.icaps-conference.org

Conference

Conference28th International Conference on Automated Planning and Scheduling
Abbreviated titleICAPS 2018
CountryNetherlands
CityDelft
Period24/06/1829/06/18
Internet address

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