Evolving personalized content for super mario bros using grammatical evolution

Noor Shaker, Georgios N. Yannakakis, Julian Togelius, Miguel Nicolau, Michael O'neill

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

    Abstract

    Adapting game content to a particular player's needs and expertise constitutes an important aspect in game design. Most research in this direction has focused on adapting game difficulty to keep the player engaged in the game. Dynamic difficulty adjustment, however, focuses on one aspect of the gameplay experience by adjusting the content to increase or decrease perceived challenge. In this paper, we introduce a method for automatic level generation for the platform game Super Mario Bros using grammatical evolution. The grammatical evolution-based level generator is used to generate player-adapted content by employing an adaptation mechanism as a fitness function in grammatical evolution to optimize the player experience of three emotional states: engagement, frustration and challenge. The fitness functions used are models of player experience constructed in our previous work from crowd-sourced gameplay data collected from over 1500 game sessions.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2012
    Pages75-80
    Number of pages6
    StatePublished - 2012
    Event8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2012 - Stanford, CA, United States
    Duration: Oct 8 2012Oct 12 2012

    Publication series

    NameProceedings of the 8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2012

    Other

    Other8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2012
    CountryUnited States
    CityStanford, CA
    Period10/8/1210/12/12

    ASJC Scopus subject areas

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

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