The Fifth International competition on knowledge engineering for planning and scheduling: Summary and trends

Lukáš Chrpa; Thomas L. McCluskey; Mauro Vallati; Tiago Vaquero

doi:10.1609/aimag.v38i1.2719

The Fifth International competition on knowledge engineering for planning and scheduling: Summary and trends

Lukáš Chrpa, Thomas L. McCluskey, Mauro Vallati, Tiago Vaquero

Research output: Contribution to journal › Review article › peer-review

13 Citations (Scopus)

Abstract

We review the 2016 International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS), the fifth in a series of competitions started in 2005. The ICKEPS series focuses on promoting the importance of knowledge engineering methods and tools for automated planning and scheduling systems.

Original language	English
Pages (from-to)	104-106
Number of pages	3
Journal	AI Magazine
Volume	38
Issue number	1
DOIs	https://doi.org/10.1609/aimag.v38i1.2719
Publication status	Published - 2 Apr 2017

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Cite this

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title = "The Fifth International competition on knowledge engineering for planning and scheduling: Summary and trends",

abstract = "We review the 2016 International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS), the fifth in a series of competitions started in 2005. The ICKEPS series focuses on promoting the importance of knowledge engineering methods and tools for automated planning and scheduling systems.",

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AU - Vallati, Mauro

AU - Vaquero, Tiago

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N2 - We review the 2016 International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS), the fifth in a series of competitions started in 2005. The ICKEPS series focuses on promoting the importance of knowledge engineering methods and tools for automated planning and scheduling systems.

AB - We review the 2016 International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS), the fifth in a series of competitions started in 2005. The ICKEPS series focuses on promoting the importance of knowledge engineering methods and tools for automated planning and scheduling systems.

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DO - 10.1609/aimag.v38i1.2719

M3 - Review article

AN - SCOPUS:85021444114

SN - 0738-4602

VL - 38

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JO - AI Magazine

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The Fifth International competition on knowledge engineering for planning and scheduling: Summary and trends

Abstract

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