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Reformulating Constraint Models for Classical Planning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F08%3A00100445" target="_blank" >RIV/00216208:11320/08:00100445 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11650/08:00106602

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reformulating Constraint Models for Classical Planning

  • Original language description

    Constraint satisfaction techniques are commonly used for solving scheduling problems, still they are rare in AI planning. Although there are several attempts to apply constraint satisfaction for solving AI planning problems, these techniques never becamepredominant in planning; and they never reached the success of, for example, SAT-based planners. In this paper we argue that existing constraint models for classical AI planning are not fully using the power of constraint satisfaction; thus we propose areformulation, which significantly improves their efficiency.

  • Czech name

    Reformulace modelů s podmínkami pro klasické plánování

  • Czech description

    Článek popisuje jak modelovat klasické plánovací problémy pomocí omezujících podmínek. Jsou zde představeny tři existující modely, tyto modely jsou přeformulovány pro více-hodnotové proměnné a následně upraveny s použitím extenzionálně definovaných podmínek.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • 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 21st International Florida AI Research Society Conference (FLAIRS 2008)

  • ISBN

    978-1-57735-365-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park

  • Event location

    Menlo Park

  • Event date

    Jan 1, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article