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On verification of workflow and planning domain models using attribute grammars

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372083" target="_blank" >RIV/00216208:11320/17:10372083 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-62434-1_28" target="_blank" >http://dx.doi.org/10.1007/978-3-319-62434-1_28</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-62434-1_28" target="_blank" >10.1007/978-3-319-62434-1_28</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On verification of workflow and planning domain models using attribute grammars

  • Original language description

    Recently, attribute grammars have been suggested as a unifying framework to describe workflow and planning domains models. One of the critical aspects of the domain model is its soundness, that is, the model should not contain any dead-ends and should describe at least one plan. In this paper we describe how the domain model can be verified by using the concept of reduction of attribute grammars. Two verification methods are suggested, one based on transformation to context-free grammars and one direct method exploiting constraint satisfaction.

  • 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

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Grigori Sidorov, Oscar Herrera-Alcántara: Advances in Computational Intelligence - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings, Part I

  • ISBN

    978-3-319-62433-4

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    14

  • Pages from-to

    332-345

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Cancún, Mexico

  • Event date

    Oct 23, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article