On Learning from Human Expert Knowledge for Automated Scheduling

Neil Yorke-Smith

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 language	English
Title of host publication	Proceedings of the ICAPS'18 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS'18)
Place of Publication	Delft, Netherlands
Pages	3-5
Publication status	Published - Jun 2018
Event	28th International Conference on Automated Planning and Scheduling: KEPS 2018 - Delft, Delft, Netherlands Duration: 24 Jun 2018 → 29 Jun 2018 Conference number: 28 http://www.icaps-conference.org

Conference

Conference	28th International Conference on Automated Planning and Scheduling
Abbreviated title	ICAPS 2018
Country/Territory	Netherlands
City	Delft
Period	24/06/18 → 29/06/18
Internet address	http://www.icaps-conference.org

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KEPS-proceedings1Final published version, 53 KBLicence: Unspecified

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title = "On Learning from Human Expert Knowledge for Automated Scheduling",

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.",

author = "Neil Yorke-Smith",

year = "2018",

month = jun,

language = "English",

pages = "3--5",

booktitle = "Proceedings of the ICAPS'18 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS'18)",

note = "28th International Conference on Automated Planning and Scheduling : KEPS 2018, ICAPS 2018 ; Conference date: 24-06-2018 Through 29-06-2018",

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AB - 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.

M3 - Conference contribution

SP - 3

EP - 5

BT - Proceedings of the ICAPS'18 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS'18)

CY - Delft, Netherlands

T2 - 28th International Conference on Automated Planning and Scheduling

Y2 - 24 June 2018 through 29 June 2018

ER -

On Learning from Human Expert Knowledge for Automated Scheduling

Abstract

Conference

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