• DocumentCode
    1713258
  • Title

    Minimizing the number of actions in parallel planning

  • Author

    Grandcolas, Stéphane ; Pain-Barre, Cyril

  • Author_Institution
    CNRS, Domaine Univ. de St.-Jerome, Marseille, France
  • Volume
    2
  • fYear
    2010
  • Firstpage
    189
  • Lastpage
    196
  • Abstract
    In the domain of classical planning one distinguishes plans which are optimal in their number of actions, they are referred as sequential plans, from plans which are optimal in their number of levels, they are referred as parallel plans. Searching optimal sequential plans is generally considered harder than searching optimal parallel plans. Buttner and Rintanen have proposed a search procedure which computes plans whose numbers of levels are fixed and whose numbers of actions are minimal. This procedure is notably used to calculate optimal sequential plans, starting from an optimal parallel plan. In this paper we describe a similar approach, which we have developed from the planner FDP. The idea consists in maintaining two structures, the first one representing the parallel plan and the other representing the sequential plan, performing the choices simultaneously in both structures. The techniques which were developed in FDP to compute sequential plans or parallel plans enable failures detection in the two structures. Experimental results show that this approach is in some cases more efficient than FDP when searching optimal sequential plans.
  • Keywords
    parallel processing; planning (artificial intelligence); failures detection; optimal parallel plans; optimal sequential plans; parallel planning; planner FDP; Artificial intelligence; Context; Planning; Random access memory; Search problems; Semantics; optimal parallel planning; optimal sequential planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
  • Conference_Location
    Arras
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-8817-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2010.100
  • Filename
    5671414