• DocumentCode
    3563820
  • Title

    A new approach to path-finding by possibilities search

  • Author

    Benoit, Vallade ; Nakashima, Tomoharu

  • Author_Institution
    Dept. of Comput. Sci. & Intell. Syst., Osaka Prefecture Univ., Sakai, Japan
  • fYear
    2014
  • Firstpage
    380
  • Lastpage
    385
  • Abstract
    This paper presents a new approach to the path-finding in video games. Path-finding algorithms, are used to find a path between two positions of a map. The standard way consists to search for a specific path. However it appears that in actual games, where the allowed computation time becomes smaller and the game-plays and maps are more complex, it should not be the best way to proceed. Therefore, this new approach to the path-finding considers the global possibilities of movement instead of searching for a specific path. This paper describes the concept of possibility and details the procedure used to search them. The appreciable experiments results prove the validity and efficiency of this approach.
  • Keywords
    Monte Carlo methods; computer games; search problems; trees (mathematics); Dijkstra algorithm; Monte Carlo; path-finding algorithms; tree search algorithm; video games; Artificial intelligence; Complexity theory; Context; Games; Guidelines; Shape; Standards; A star algorithm; Dijkstra algorithm; Monte Carlo Tree Search algorithm; Path-finding algorithm; map simplification; notion of possibility; video games;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044776
  • Filename
    7044776