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ICAPS 1994

Control Knowledge to Improve Plan Quality

Conference Paper Posters Artificial Intelligence · Automated Planning and Scheduling

Abstract

Generatingproduction-qualityplans is an essential element in Iransformingplannersfromresearchtools into reel-world applications. However mostof the workto date on learning planningcontrol knowledge has beenaimedat improvingthe effw[encyof planning; this workhas beentermed"speed-up learning". This paper focuses on teamingcontrol knowledgeto guide a plann~towardsbetter solutions, i. e. to improvethe quality of the plans producedby the planner, as its problemsolving experienceincreases. Wemotivate the use of quality-enhancingsearch control knowledge and its automatedacquisifi~mfromproblemsolving experience. Weinlzoduce an implementedmechanismfor teaming such control knowledge and someof our preliminaryresults in a process planningdomain.

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Context

Venue
International Conference on Automated Planning and Scheduling
Archive span
1990-2024
Indexed papers
1573
Paper id
1027803588207252553
v2026.09.13