Game AI revisited
Game AI revisited
复制标题
重新审视游戏人工智能
DOI：
10.1145/2212908.2212954
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发表时间：
2012
影响因子：
--
通讯作者：
Georgios N. Yannakakis
中科院分区：
文献类型：
--
作者：
Georgios N. Yannakakis
十多年后，早期的研究工作在计算机游戏中使用人工智能（AI），并建立了一个新的AI领域，术语“游戏AI”需要重新定义。传统上，与游戏AI相关的任务围绕着不同控制级别的非玩家角色（NPC）行为，从导航和寻路到决策。然而，过去15年开发的商业标准游戏和当前的游戏制作表明，游戏AI的传统挑战已经通过使用复杂的AI方法得到了很好的解决，而不一定遵循或受到学术实践进步的启发。传统学术游戏AI方法在工业生产中的边缘渗透主要是由于学术游戏AI早期学术界和工业界之间缺乏建设性的沟通，以及学术游戏AI无法提出能够显著推进现有开发流程或为真实的世界问题提供可扩展解决方案的方法。然而，最近，研究重点发生了转变，因为目前在游戏中使用的大量AI正在打破非玩家角色AI的传统。其中一些替代性的人工智能应用已经显示出设计更好游戏的巨大潜力。
本文介绍了目前正在重塑游戏AI领域研究路线图的四个关键游戏AI研究领域，并将游戏AI术语置于新的视角下。这些游戏AI旗舰研究领域包括玩家体验的计算建模，内容的程序生成，大规模玩家数据的挖掘以及增强NPC能力的替代AI研究重点。
More than a decade after the early research efforts on the use of artificial intelligence (AI) in computer games and the establishment of a new AI domain the term ``game AI'' needs to be redefined. Traditionally, the tasks associated with game AI revolved around non player character (NPC) behavior at different levels of control, varying from navigation and pathfinding to decision making. Commercial-standard games developed over the last 15 years and current game productions, however, suggest that the traditional challenges of game AI have been well addressed via the use of sophisticated AI approaches, not necessarily following or inspired by advances in academic practices. The marginal penetration of traditional academic game AI methods in industrial productions has been mainly due to the lack of constructive communication between academia and industry in the early days of academic game AI, and the inability of academic game AI to propose methods that would significantly advance existing development processes or provide scalable solutions to real world problems. Recently, however, there has been a shift of research focus as the current plethora of AI uses in games is breaking the non-player character AI tradition. A number of those alternative AI uses have already shown a significant potential for the design of better games.
This paper presents four key game AI research areas that are currently reshaping the research roadmap in the game AI field and evidently put the game AI term under a new perspective. These game AI flagship research areas include the computational modeling of player experience, the procedural generation of content, the mining of player data on massive-scale and the alternative AI research foci for enhancing NPC capabilities.