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Optimizing Plans through Analysis of Action Dependencies and Independencies

Chrpa, Lukáš, McCluskey, T.L. and Osborne, Hugh (2012) Optimizing Plans through Analysis of Action Dependencies and Independencies. In: Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling. ICAPS 2012 . AAAI Press, California, USA, pp. 338-342. ISBN 978-1-57735-562-5

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    The problem of automated planning is known to be intractable in general. Moreover, it has been proven that in some cases finding an optimal solution is much harder than finding any solution. Existing techniques have to compromise between speed of the planning process and quality of solutions. For example, techniques based on greedy search often are able to obtain solutions quickly, but the quality of the solutions is usually low. Similarly, adding macro-operators
    to planning domains often enables planning speed-up, but solution sequences are typically longer. In this paper, we propose a method
    for optimizing plans with respect to their length, by post-planning analysis. The method is based on analyzing action dependencies and
    independencies by which we are able to identify redundant actions or non-optimal sub-plans. To evaluate the process we provide preliminary empirical evidence using benchmark domains.

    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
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    Depositing User: Sara Taylor
    Date Deposited: 17 Jul 2012 11:43
    Last Modified: 17 Jul 2012 11:43

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