• DocumentCode
    1840361
  • Title

    Intelligent moving of groups in real-time strategy games

  • Author

    Danielsiek, Holger ; Stüer, Raphael ; Thom, Andreas ; Beume, Nicola ; Naujoks, Boris ; Preuss, Mike

  • Author_Institution
    Comput. Intell. Group, Tech. Univ. Dortmund, Dortmund
  • fYear
    2008
  • fDate
    15-18 Dec. 2008
  • Firstpage
    71
  • Lastpage
    78
  • Abstract
    This paper investigates the intelligent moving and path-finding of groups in real-time strategy (RTS) games exemplified by the open source game Glest. We utilize the technique of flocking for achieving a smooth and natural movement of a group of units and expect grouping to decrease the amount of unit losses in RTS games. Furthermore, we present a setting in which flocking will improve the game progress. But we also demonstrate a situation where flocking fails. To prevent these annoying situations, we combined flocking with influence maps (IM) to find safe paths for the flock in real time. This combination turns out to be an excellent alternative to normal movement in Glest and most likely in other RTS games.
  • Keywords
    biology computing; game theory; public domain software; RTS games; flocking fails; influence maps; open source game; path-finding; real-time strategy games; Artificial intelligence; Artificial neural networks; Assembly; Computational intelligence; Computer science; Evolutionary computation; Filters; Humans; Self organizing feature maps; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-1-4244-2973-8
  • Electronic_ISBN
    978-1-4244-2974-5
  • Type

    conf

  • DOI
    10.1109/CIG.2008.5035623
  • Filename
    5035623