When Are We Done with Games?

Niels Justesen, Michael S. Debus, S. Risi
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引用次数: 5

Abstract

From an early point, games have been promoted as important challenges within the research field of Artificial Intelligence (AI). Recent developments in machine learning have allowed a few AI systems to win against top professionals in even the most challenging video games, including Dota 2 and StarCraft. It thus may seem that AI has now achieved all of the long-standing goals that were set forth by the research community. In this paper, we introduce a black box approach that provides a pragmatic way of evaluating the fairness of AI vs. human competitions, by only considering motoric and perceptual fairness on the competitors’ side. Additionally, we introduce the notion of extrinsic and intrinsic factors of a game competition and apply these to discuss and compare the competitions in relation to human vs. human competitions. We conclude that Dota 2 and StarCraft II are not yet mastered by AI as they so far only have been able to win against top professionals in limited competition structures in restricted variants of the games.
我们什么时候结束游戏?
从一开始,游戏就被视为人工智能(AI)研究领域的重要挑战。最近机器学习的发展使得一些人工智能系统能够在最具挑战性的电子游戏中战胜顶级专业人士,包括《Dota 2》和《星际争霸》。因此,人工智能现在似乎已经实现了研究界提出的所有长期目标。在本文中,我们介绍了一种黑盒方法,该方法提供了一种实用的方法来评估人工智能与人类竞争的公平性,只考虑竞争对手方面的动力和感知公平性。此外,我们还引入了游戏竞争的外在和内在因素的概念,并将其用于讨论和比较人类与人类竞争的关系。我们得出的结论是,《Dota 2》和《星际争霸2》还没有被AI掌握,因为它们到目前为止只能在有限的比赛结构和有限的游戏变体中战胜顶级专业人士。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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