Resource systems in games: An analytical approach

Tróndur Justinussen, Peter Hald Rasmussen, Alessandro Canossa, Julian Togelius

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

    Abstract

    We describe an approach to using standard data mining algorithms to help analyse recurring themes in game design across several games, and to help suggest novel game design ideas. This is illustrated with the analysis of 119 different resource systems across 20 games. Clustering is used to validate the assignment of resources into archetypes; frequent pattern mining is used to find commonly co-occurring resource attributes; and decision tree induction is used to visualize the relations between resource archetypes. We discuss the relation between qualitative and quantitative analysis of game design and suggest that qualitative analysis is necessary but that quantitative methods can be of invaluable help.

    Original languageEnglish (US)
    Title of host publication2012 IEEE Conference on Computational Intelligence and Games, CIG 2012
    Pages171-178
    Number of pages8
    DOIs
    StatePublished - Dec 1 2012
    Event2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012 - Granada, Spain
    Duration: Sep 11 2012Sep 14 2012

    Publication series

    Name2012 IEEE Conference on Computational Intelligence and Games, CIG 2012

    Other

    Other2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012
    CountrySpain
    CityGranada
    Period9/11/129/14/12

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Graphics and Computer-Aided Design
    • Human-Computer Interaction
    • Software

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  • Cite this

    Justinussen, T., Rasmussen, P. H., Canossa, A., & Togelius, J. (2012). Resource systems in games: An analytical approach. In 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012 (pp. 171-178). [6374153] (2012 IEEE Conference on Computational Intelligence and Games, CIG 2012). https://doi.org/10.1109/CIG.2012.6374153