Elimination from design to analysis

Ahmed Khalifa, Dan Gopstein, Julian Togelius

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

    Abstract

    Elimination is a word puzzle game for browsers and mobile devices, where all levels are generated by a constrained evolutionary algorithm with no human intervention. This paper describes the design of the game and its level generation methods, and analysis of playtraces from almost a thousand players. The analysis corroborates that the level generator creates a sawtooth-shaped difficulty curve, as intended. The analysis also offers insights into player behavior in this game.

    Original languageEnglish (US)
    Title of host publicationIEEE Conference on Games 2019, CoG 2019
    PublisherIEEE Computer Society
    ISBN (Electronic)9781728118840
    DOIs
    StatePublished - Aug 2019
    Event2019 IEEE Conference on Games, CoG 2019 - London, United Kingdom
    Duration: Aug 20 2019Aug 23 2019

    Publication series

    NameIEEE Conference on Computatonal Intelligence and Games, CIG
    Volume2019-August
    ISSN (Print)2325-4270
    ISSN (Electronic)2325-4289

    Conference

    Conference2019 IEEE Conference on Games, CoG 2019
    CountryUnited Kingdom
    CityLondon
    Period8/20/198/23/19

    Keywords

    • Difficulty measurement
    • Game design
    • Postmortem
    • Procedural content generation
    • Puzzles
    • Word games

    ASJC Scopus subject areas

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

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  • Cite this

    Khalifa, A., Gopstein, D., & Togelius, J. (2019). Elimination from design to analysis. In IEEE Conference on Games 2019, CoG 2019 [8848017] (IEEE Conference on Computatonal Intelligence and Games, CIG; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/CIG.2019.8848017