• DocumentCode
    1735279
  • Title

    Dynamic scripting applied to a First-Person Shooter

  • Author

    Policarpo, Daniel ; Urbano, Paulo ; Loureiro, Tiago

  • Author_Institution
    Lab. de Modelacao de Agentes, FCUL, Lisbon, Portugal
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Video game Artificial Intelligence (AI) is growing more complex and realistic to keep up with player requirements. Despite this, most games still fail to provide true adaptability in their AI, resulting in situations where an intermediate level player is able to predict the AI´s behavior in a short amount of time, leading to a predictable and boring game experience. Creating a truly adaptive AI would greatly benefit a videogame´s intrinsic value by providing a more immersive and unpredictable game experience. This paper describes the development of an AI system for the First-Person Shooter (FPS) videogame genre that avoids this problem through the creation of adaptable rule-based behaviors, enabling AI characters to learn the best strategy for any given situation..
  • Keywords
    artificial intelligence; computer games; AI behavior prediction; AI system; dynamic scripting; first-person shooter video game genre; intermediate level player; rule-based behaviors; video game artificial intelligence; video game intrinsic value; Artificial intelligence; Engines; Games; Heuristic algorithms; Prototypes; Rockets; Weapons; Adaptive AI; Game Experience; Rule-based Behaviors; Videogame AI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2010 5th Iberian Conference on
  • Conference_Location
    Santiago de Compostela
  • Print_ISBN
    978-1-4244-7227-7
  • Type

    conf

  • Filename
    5556600