• DocumentCode
    3166685
  • Title

    A#: A distributed version of A* for factored planning

  • Author

    Jezequel, Loig ; Fabre, Eric

  • Author_Institution
    ENS Cachan Bretagne, Rennes, France
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    7377
  • Lastpage
    7382
  • Abstract
    Factored planning consists in driving a modular or distributed system to a target state, in an optimal manner, assuming all actions are controllable. Such problems take the form of path search in a product of graphs. The state space of each component is a graph, in which one must find a path to the local goal of this component. But when all components are considered jointly, the problem amounts to finding a path in each of these state graphs, while ensuring their compatibility on the actions that must be performed jointly by some components of the system. This paper proposes a solution under the form of a multi-agent version of A*, assembling several A*, each one performing a biased depth-first search in the graph of each component.
  • Keywords
    graphs; optimal control; tree searching; A#; A* distributed version; depth-first search; distributed system; factored planning; modular system; multi-agent version; optimal manner; path search; state graphs; state space; Automata; Color; Cost function; Labeling; Planning; Search problems; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426187
  • Filename
    6426187