论文标题
从国际象棋和阿塔里（Atari）到星际争霸（Starcraft
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
论文作者
论文摘要
本文回顾了游戏AI领域，该领域不仅涉及创建可以玩特定游戏的代理，而且还涉及自动创建游戏内容，游戏分析或玩家建模等多样性的领域。尽管AI很长一段时间都没有得到更大的科学界的认可，但它已将自己确立为开发和测试最先进形式的AI算法和文章的研究领域，涵盖了掌握视频游戏（例如Starcraft 2和Quake III）的进步，这是在最有利的期刊中出现的。由于该领域的增长，单个审查无法完全涵盖它。因此，我们关注的是最近的重要发展，包括游戏AI的进步开始扩展到游戏以外的领域，例如机器人技术或化学物质的合成。在本文中，我们回顾了为这些突破铺平道路的算法和方法，报告了游戏AI研究的其他重要领域，并指出了对游戏AI的未来的令人兴奋的方向。
This paper reviews the field of Game AI, which not only deals with creating agents that can play a certain game, but also with areas as diverse as creating game content automatically, game analytics, or player modelling. While Game AI was for a long time not very well recognized by the larger scientific community, it has established itself as a research area for developing and testing the most advanced forms of AI algorithms and articles covering advances in mastering video games such as StarCraft 2 and Quake III appear in the most prestigious journals. Because of the growth of the field, a single review cannot cover it completely. Therefore, we put a focus on important recent developments, including that advances in Game AI are starting to be extended to areas outside of games, such as robotics or the synthesis of chemicals. In this article, we review the algorithms and methods that have paved the way for these breakthroughs, report on the other important areas of Game AI research, and also point out exciting directions for the future of Game AI.
