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Reformulating Planning Problems: A Theoretical Point of View

Chrpa, Lukáš, McCluskey, T.L. and Osborne, Hugh (2012) Reformulating Planning Problems: A Theoretical Point of View. In: Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference. AAAI Press, Palo Alto, CA. ISBN 978-1-57735-558-8

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    Automated planning is a well studied research topic thanks to its wide range of real-world applications. Despite significant progress in this area many planning problems still remain hard and challenging. Some techniques such as learning macro-operators improve the planning process by reformulating the (original)
    planning problem. While many encouraging practical results have been derived from such reformulation methods, little attention has been paid to the theoretical properties of reformulation such as soundness, completeness, and algorithmic complexity. In this paper we build up a theoretical framework describing reformulation schemes such as action elimination or creating macro-actions. Using this framework, we show that finding entanglements (relationships useful for action elimination) is as hard as planning itself. Moreover, we design a tractable algorithm for checking under what conditions it
    is safe to reformulate a problem by removing primitive operators (assembled to a macro-operator).

    Item Type: Book Chapter
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
    Related URLs:
    Depositing User: Lukas Chrpa
    Date Deposited: 05 Apr 2012 15:00
    Last Modified: 10 Aug 2012 16:31

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