• DocumentCode
    1840281
  • Title

    Dynamic formations in real-time strategy games

  • Author

    Van der Heijden, Marcel ; Bakkes, Sander ; Spronck, Pieter

  • Author_Institution
    Maastricht Univ., Maastricht
  • fYear
    2008
  • fDate
    15-18 Dec. 2008
  • Firstpage
    47
  • Lastpage
    54
  • Abstract
    Current approaches to organising units in strategic video games are typically implemented via static formations. Static formations are not capable of adapting effectively to opponent tactics. In this paper we discuss an approach to organising units by learning the effectiveness of a formation in actual play, and directly applying learned formations according to the classification of the opponent player. This approach to establish so-called dynamic formations, is tested in the ORTS game environment. From our results, we may conclude that the approach to established dynamic formations can be successfully applied in actual video-game environments.
  • Keywords
    computer games; ORTS; real-time strategy games; static formations; video games; Artificial intelligence; Automatic control; Games; Testing;
  • 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.2008.5035620
  • Filename
    5035620