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Domain Modeling for Planning as Logic Programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10332066" target="_blank" >RIV/00216208:11320/16:10332066 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/12942/12533" target="_blank" >http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/12942/12533</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Domain Modeling for Planning as Logic Programming

  • Original language description

    Planning as programming is an approach to automated planning, where the planning domain model is expressed as a program in some (declarative) program- ming language. Then the modeler can exploit all features of that language to encode control knowledge im- portant for efficient planning. In this paper we study these features in the logic programming language Picat and its planner module. In particular, we use two planning benchmarks, Nomystery and Childsnack, to compare factored and structured representations of states extended by encodings of control knowledge.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

    2016

  • 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 Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016

  • ISBN

    978-1-57735-756-8

  • ISSN

    2334-0754

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    8-13

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park, CA, USA

  • Event location

    Key Largo, Florida

  • Event date

    May 16, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article