• DocumentCode
    3476867
  • Title

    Modelling and evaluation of complex scenarios with the Strategy Game Description Language

  • Author

    Mahlmann, T. ; Togelius, Julian ; Yannakakis, Georgios N.

  • Author_Institution
    Center For Comput. Games Res., IT Univ. of Copenhagen, Copenhagen, Denmark
  • fYear
    2011
  • fDate
    Aug. 31 2011-Sept. 3 2011
  • Firstpage
    174
  • Lastpage
    181
  • Abstract
    The Strategy Game Description Game Language (SGDL) is intended to become a complete description of all aspects of strategy games, including rules, parameters, scenarios, maps, and unit types. Our aim is to be able to model a wide variety of strategy games, simple ones as well as complex commercially available titles. In our previous work [1] we introduced the basic concepts of modelling game rules in a tree structure and evaluating them through simulated playthrough. In this paper we present some additions to the language and discuss and compare three methods to evaluate the quality of a set of game rules in two different scenarios. We find that the proposed evaluation measures are complementary, and depend on the artificial agent used.
  • Keywords
    artificial intelligence; computer games; specification languages; trees (mathematics); SGDL; artificial agent; complex scenarios; game rules; strategy game description language; tree structure; Complexity theory; Computers; Games; Lead; Mathematical model; Rocks; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2011 IEEE Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4577-0010-1
  • Electronic_ISBN
    978-1-4577-0009-5
  • Type

    conf

  • DOI
    10.1109/CIG.2011.6032004
  • Filename
    6032004