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Tight Bounds for Hybrid Planning

    Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

    8 Citations (Scopus)

    Abstract

    Several hierarchical planning systems feature a rich level of language features making them capable of expressing real-world problems. One such feature that's used by several current planning systems is causal links, which are used to track search progress. The formalism combining Hierarchical Task Network (HTN) planning with these links known from Partial Order Causal Link (POCL) planning is often referred to as hybrid planning. In this paper we study the computational complexity of such hybrid planning problems. More specifically, we provide missing membership results to existing hardness proofs and thereby provide tight complexity bounds for all known subclasses of hierarchical planning problems. We also re-visit and correct a result from the literature for plan verification showing that it remains NP-complete even in the absence of a task hierarchy.

    Original languageEnglish
    Title of host publicationProceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022
    EditorsLuc De Raedt, Luc De Raedt
    PublisherInternational Joint Conferences on Artificial Intelligence
    Pages4597-4605
    Number of pages9
    ISBN (Electronic)9781956792003
    DOIs
    Publication statusPublished - 2022
    Event31st International Joint Conference on Artificial Intelligence, IJCAI 2022 - Vienna, Austria
    Duration: 23 Jul 2022 → 29 Jul 2022

    Publication series

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

    Conference

    Conference31st International Joint Conference on Artificial Intelligence, IJCAI 2022
    Country/TerritoryAustria
    CityVienna
    Period23/07/22 → 29/07/22

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