Showdown AI competition

Scott Lee, Julian Togelius

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

    Abstract

    We present the Showdown AI Competition, a game-based AI competition built around a clone of the popular game Pokemon. This is a game of turn-based team battle, where the objective is to defeat an opponent team using clever combinations of creatures and their abilities. The gameplay is reminiscent of computer role-playing game battles and collectible card games. The game has characteristics, such as the combination of turn- based gameplay and partial observability, that are unusual in current game-based AI competitions and therefore offers a fresh challenge.

    Original languageEnglish (US)
    Title of host publication2017 IEEE Conference on Computational Intelligence and Games, CIG 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages191-198
    Number of pages8
    ISBN (Electronic)9781538632338
    DOIs
    StatePublished - Oct 23 2017
    Event2017 IEEE Conference on Computational Intelligence and Games, CIG 2017 - New York, United States
    Duration: Aug 22 2017Aug 25 2017

    Publication series

    Name2017 IEEE Conference on Computational Intelligence and Games, CIG 2017

    Other

    Other2017 IEEE Conference on Computational Intelligence and Games, CIG 2017
    CountryUnited States
    CityNew York
    Period8/22/178/25/17

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction
    • Media Technology

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  • Cite this

    Lee, S., & Togelius, J. (2017). Showdown AI competition. In 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017 (pp. 191-198). [8080435] (2017 IEEE Conference on Computational Intelligence and Games, CIG 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIG.2017.8080435