On Learning from Human Expert Knowledge for Automated Scheduling

Conference Paper (2018)
Author(s)

N. Yorke-Smith (TU Delft - Algorithmics)

Research Group
Algorithmics
Copyright
© 2018 N. Yorke-Smith
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 N. Yorke-Smith
Research Group
Algorithmics
Pages (from-to)
3-5
Reuse Rights

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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.

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