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Auflistung nach Schlagwort "Player modeling"

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  • Zeitschriftenartikel
    The Many AI Challenges of Hearthstone
    (KI - Künstliche Intelligenz: Vol. 34, No. 1, 2020) Hoover, Amy K.; Togelius, Julian; Lee, Scott; Mesentier Silva, Fernando
    Since the inception of artificial intelligence, games have benchmarked algorithmic advances. Recent success in classic board games such as Chess and Go have left space for video games that pose related yet different sets of challenges. With this shifted focus, the set of AI problems associated with video games has expanded from simply playing these games to win, to include playing games in particular styles, generating game content, modeling players, etc. Different games pose different challenges for AI systems, and several such AI challenges can typically be addressed in the same game. In this article we analyze the popular collectible card game Hearthstone published by Blizzard in 2014, and describe a varied set of interesting AI challenges it poses. Despite their popularity and associated interesting challenges, collectible card games are relatively understudied in the AI community. By analyzing a single game in-depth, we get a glimpse of the entire field of AI and games through the lens of a single game, discovering a few new variations on existing research topics.