Generation of macro-operators via investigation of action dependencies in plans

Chrpa, Lukáš (2010) Generation of macro-operators via investigation of action dependencies in plans. The Knowledge Engineering Review, 25 (03). pp. 281-297. ISSN 0269-8889

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Abstract

There are many approaches for solving planning problems. Many of these approaches are based on ‘brute force’ search methods and they usually do not care about structures of plans previously computed in particular planning domains. By analyzing these structures, we can obtain useful knowledge that can help us find solutions to more complex planning problems. The method described in this paper is designed for gathering macro-operators by analyzing training plans. This sort of analysis is based on the investigation of action dependencies in training plans. Knowledge gained by our method can be passed directly to planning algorithms to improve their efficiency

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools:	School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering
Related URLs:	Author
Depositing User:	Lukas Chrpa
Date Deposited:	14 Feb 2012 10:06
Last Modified:	28 Aug 2021 21:09
URI:	http://eprints.hud.ac.uk/id/eprint/12169

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