Aesthetic Bot: Interactively Evolving Game Maps on Twitter

M. Charity, Julian Togelius

    Research output: Contribution to journalConference articlepeer-review


    This paper describes the implementation of the Aesthetic Bot, an automated Twitter account that posts images of small game maps that are either user-made or generated from an evolutionary system. The bot then prompts users to vote via a poll posted in the image’s thread for the most aesthetically pleasing map. This creates a rating system that allows for direct interaction with the bot in a way that is integrated seamlessly into a user’s regularly updated Twitter content feed. Upon conclusion of the each voting round, the bot learns from the distribution of votes for each map to emulate user preferences for design and visual aesthetic in order to generate maps that would win future vote pairings. We discuss the ongoing results and emerging behaviors that have occurred since the release of this system from both the bot’s generation of game maps and the participating Twitter users.

    Original languageEnglish (US)
    Pages (from-to)18-25
    Number of pages8
    JournalProceedings - AAAI Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE
    Issue number1
    StatePublished - Oct 11 2022
    Event18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2022 - Pomona, United States
    Duration: Oct 24 2022Oct 28 2022

    ASJC Scopus subject areas

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


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