Heuristics for planning with SAT and expressive action definitions

Jussi Rintanen*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Citations (Scopus)

    Abstract

    We present the first effective SAT heuristics for planning with expressive planning languages such as ADL. Recently, SAT heuristics for STRIPS planning have been introduced. In this work we show that the basic ideas in the heuristic can be generalized to actions with conditional effects but without disjunction, and that disjunction requires a more fundamental analysis of the STRIPS heuristic, which, despite complications, will still lead to a natural heuristic which can be implemented efficiently. The experimental analysis shows substantial and systematic improvements over the state of the art in planning with SAT with ADL.

    Original languageEnglish
    Title of host publicationICAPS 2011 - Proceedings of the 21st International Conference on Automated Planning and Scheduling
    Pages210-217
    Number of pages8
    Publication statusPublished - 2011
    Event21st International Conference on Automated Planning and Scheduling, ICAPS 2011 - Freiburg, Germany
    Duration: 11 Jun 201116 Jun 2011

    Publication series

    NameICAPS 2011 - Proceedings of the 21st International Conference on Automated Planning and Scheduling

    Conference

    Conference21st International Conference on Automated Planning and Scheduling, ICAPS 2011
    Country/TerritoryGermany
    CityFreiburg
    Period11/06/1116/06/11

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