Designer Modeling through Design Style Clustering

Alberto Alvarez, Jose Maria Font Fernandez, Julian Togelius

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We propose modeling designer style in mixed-initiative game content creation tools as archetypical design traces. These design traces are formulated as transitions between design styles; these design styles are in turn found through clustering all intermediate designs along the way to making a complete design. This method is implemented in the Evolutionary Dungeon Designer, a research platform for mixed-initiative systems to create adventure and dungeon crawler games. We present results both in the form of design styles for rooms, which can be analyzed to better understand the kind of rooms designed by users, and in the form of archetypical sequences between these rooms, i.e., Designer Personas.

    Original languageEnglish (US)
    JournalIEEE Transactions on Games
    DOIs
    StateAccepted/In press - 2022

    Keywords

    • Adaptation models
    • Computational modeling
    • Computer Games
    • Data models
    • Designer Modeling
    • Games
    • Integrated circuit modeling
    • MixedInitiative Co-Creativity
    • Predictive models
    • Procedural Content Generation
    • Solid modeling
    • Unsupervised Learning

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Artificial Intelligence
    • Electrical and Electronic Engineering

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