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Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341807" target="_blank" >RIV/68407700:21230/20:00341807 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1609/aaai.v34i06.6536" target="_blank" >https://doi.org/10.1609/aaai.v34i06.6536</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1609/aaai.v34i06.6536" target="_blank" >10.1609/aaai.v34i06.6536</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems

  • Original language description

    In this paper, we focus on the inference of mutex groups in the lifted (PDDL) representation. We formalize the inference and prove that the most commonly used translator from the Fast Downward (FD) planning system infers a certain subclass of mutex groups, called fact-alternating mutex groups (fam-groups). Based on that, we show that the previously proposed fam-groups-based pruning techniques for the STRIPS representation can be utilized during the grounding process with lifted fam-groups, i.e., before the full STRIPS representation is known. Furthermore, we propose an improved inference algorithm for lifted fam-groups that produces a richer set of fam-groups than the FD translator and we demonstrate a positive impact on the number of pruned operators and overall coverage.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the AAAI Conference on Artificial Intelligence

  • ISBN

  • ISSN

    2159-5399

  • e-ISSN

    2374-3468

  • Number of pages

    8

  • Pages from-to

    9835-9842

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park

  • Event location

    New York

  • Event date

    Feb 7, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article