The Many AI Challenges of Hearthstone

被引:7
|
作者
Hoover, Amy K. [1 ]
Togelius, Julian [2 ]
Lee, Scott
de Mesentier Silva, Fernando
机构
[1] New Jersey Inst Technol, 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102 USA
[2] NYU, MetroTech Ctr 6, Brooklyn, NY 11201 USA
来源
KUNSTLICHE INTELLIGENZ | 2020年 / 34卷 / 01期
关键词
Artificial intelligence; Games; Hearthstone; Deckbuilding; Gameplaying; Player modeling; LEVEL; INTELLIGENCE; GAMES;
D O I
10.1007/s13218-019-00615-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:33 / 43
页数:11
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