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

Tobias Mahlmann, Julian Togelius, Georgios N. Yannakakis

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publication2011 IEEE Conference on Computational Intelligence and Games, CIG 2011
    Pages174-181
    Number of pages8
    DOIs
    StatePublished - 2011
    Event2011 7th IEEE International Conference on Computational Intelligence and Games, CIG 2011 - Seoul, Korea, Republic of
    Duration: Aug 31 2011Sep 3 2011

    Publication series

    Name2011 IEEE Conference on Computational Intelligence and Games, CIG 2011

    Other

    Other2011 7th IEEE International Conference on Computational Intelligence and Games, CIG 2011
    CountryKorea, Republic of
    CitySeoul
    Period8/31/119/3/11

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction
    • Software

    Cite this

    Mahlmann, T., Togelius, J., & Yannakakis, G. N. (2011). Modelling and evaluation of complex scenarios with the Strategy Game Description Language. In 2011 IEEE Conference on Computational Intelligence and Games, CIG 2011 (pp. 174-181). [6032004] (2011 IEEE Conference on Computational Intelligence and Games, CIG 2011). https://doi.org/10.1109/CIG.2011.6032004