Estimating the probability of meeting a deadline in hierarchical plans

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    5 Scopus citations

    Abstract

    Given a hierarchical plan (or schedule) with uncertain task times, we may need to determine the probability that a given plan will satisfy a given deadline. This problem is shown to be NP-hard for series-parallel hierarchies. We provide a polynomial-time approximation algorithm for it. Computing the expected makespan of an hierarchical plan is also shown to be NP-hard. We examine the approximation bounds empirically and demonstrate where our scheme is superior to sampling and to exact computation.

    Original languageEnglish
    Title of host publicationIJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence
    EditorsMichael Wooldridge, Qiang Yang
    PublisherInternational Joint Conferences on Artificial Intelligence
    Pages1551-1557
    Number of pages7
    ISBN (Electronic)9781577357384
    StatePublished - 1 Jan 2015
    Event24th International Joint Conference on Artificial Intelligence, IJCAI 2015 - Buenos Aires, Argentina
    Duration: 25 Jul 201531 Jul 2015

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    Volume2015-January
    ISSN (Print)1045-0823

    Conference

    Conference24th International Joint Conference on Artificial Intelligence, IJCAI 2015
    Country/TerritoryArgentina
    CityBuenos Aires
    Period25/07/1531/07/15

    ASJC Scopus subject areas

    • Artificial Intelligence

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