Real-time team-mate AI in games: a definition, survey, & critique
Real-time team-mate AI in games: a definition, survey, & critique
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游戏中的实时队友人工智能：定义、调查、
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
A. Abraham
中科院分区：
文献类型：
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作者：
K. McGee;A. Abraham
许多当代游戏是以团队为基础的，并且人们对游戏中队友人工智能的进步越来越感兴趣，也越来越有需求。然而，尽管已经有对游戏中智能体人工智能的调查，但到目前为止，还没有对队友人工智能相关工作的调查。此外，“队友人工智能”这一概念目前没有得到很好的界定，无法区分碰巧处于同一方的独立行动智能体的工作，以及根据队友的行为、意图等协调自身行为和决策的智能体的工作。而且，区分用作优化技术的游戏人工智能和实时游戏人工智能是很重要的，因此本文提出了实时队友人工智能的定义（通过游戏类型举例说明），从多个人工智能研究领域（例如，协同行动、预测、学习）回顾了迄今为止为游戏实现实时队友人工智能的工作，并以对当前技术状况的重要问题的简要讨论作为结尾。
Many contemporary games are team-based and there is a growing interest in, and need for, advances in team-mate AI for games. However, although there have been surveys of agent AI in games, to date there has been no survey of work on team-mate AI. Furthermore, the concept of "team-mate AI" is not currently well delineated to distinguish between work on independently-acting agents that happen to be on the same side from work on agents the coordinate their behaviors and decision-making in terms of their teammates behaviors, intentions, and the like. Also, it is important to distinguish between game AI that is used as an optimization technique from real-time game AI, so this paper proposes a definition for real-time team-mate AI (highlighted with examples by game genre), reviews work to date to implement real-time team-mate AI for games in terms of a number of AI research areas (e.g., coordinated action, prediction, learning), and concludes with a brief discussion of significant issues about the state of the art.