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Validation of Hierarchical Plans via Parsing of Attribute Grammars

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10391961" target="_blank" >RIV/00216208:11320/18:10391961 - isvavai.cz</a>

  • Result on the web

    <a href="https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/17004/15631" target="_blank" >https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/17004/15631</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Validation of Hierarchical Plans via Parsing of Attribute Grammars

  • Original language description

    An important problem of automated planning is validating if a plan complies with the planning domain model. Such validation is straightforward for classical sequential planning but until recently there was no such validation approach for Hierarchical Task Networks (HTN) planning. In this paper we propose a novel technique for validating HTN plans that is based on representing the HTN model as an attribute grammar and using a special parsing algorithm to verify if the plan can be generated by the grammar.

  • 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

    <a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    AAAI Workshops Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence

  • ISBN

    978-1-57735-801-5

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

    593-600

  • Publisher name

    AAAI Press

  • Place of publication

    Palo Alto

  • Event location

    New Orleans

  • Event date

    Feb 2, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article