• DocumentCode
    578985
  • Title

    Agents Behavior and Preferences Characterization in Civilization IV

  • Author

    Machado, Marlos C. ; Rocha, Bruno S L ; Chaimowicz, Luiz

  • Author_Institution
    Comput. Sci. Dept., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil
  • fYear
    2011
  • fDate
    7-9 Nov. 2011
  • Firstpage
    43
  • Lastpage
    52
  • Abstract
    Player Modeling is becoming an important feature in Digital Games. It basically consists in understanding and modeling the player characteristics and behaviors during the game and has been mainly used to improve the games artificial intelligence, making games more adaptable to different players. In this paper, we try to characterize the preference of the players using a novel approach in games: we use mathematical regressions to characterize players behavior, looking for functions that best fit these behaviors. Using AI controlled players in Civilization IV as a testbed, this characterization is performed by extracting game data (score and resources, for example) at the end of each turn and generating functions that characterize the data evolution during the game. We were able to obtain models that distinguish the agents preferences showing the effectiveness of this approach.
  • Keywords
    artificial intelligence; computer games; regression analysis; Civilization IV; agents behavior; artificial intelligence; data evolution; digital games; mathematical regressions; player characteristics; player modeling; Adaptation models; Buildings; Cities and towns; Computational modeling; Games; Gold; Linear regression; Civilization IV; Player Modeling; Preference Modeling; Turn-based Strategy Game; Workload Characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Games and Digital Entertainment (SBGAMES), 2011 Brazilian Symposium on
  • Conference_Location
    Salvador
  • ISSN
    2159-6654
  • Print_ISBN
    978-1-4673-0797-0
  • Type

    conf

  • DOI
    10.1109/SBGAMES.2011.17
  • Filename
    6363217