A Panorama of Artificial and Computational Intelligence in Games

Q2 Computer Science
Georgios N. Yannakakis, J. Togelius
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引用次数: 179

Abstract

This paper attempts to give a high-level overview of the field of artificial and computational intelligence (AI/CI) in games, with particular reference to how the different core research areas within this field inform and interact with each other, both actually and potentially. We identify ten main research areas within this field: NPC behavior learning, search and planning, player modeling, games as AI benchmarks, procedural content generation, computational narrative, believable agents, AI-assisted game design, general game artificial intelligence and AI in commercial games. We view and analyze the areas from three key perspectives: 1) the dominant AI method(s) used under each area; 2) the relation of each area with respect to the end (human) user; and 3) the placement of each area within a human-computer (player-game) interaction perspective. In addition, for each of these areas we consider how it could inform or interact with each of the other areas; in those cases where we find that meaningful interaction either exists or is possible, we describe the character of that interaction and provide references to published studies, if any. We believe that this paper improves understanding of the current nature of the game AI/CI research field and the interdependences between its core areas by providing a unifying overview. We also believe that the discussion of potential interactions between research areas provides a pointer to many interesting future research projects and unexplored subfields.
游戏中的人工智能和计算智能全景图
本文试图对游戏中的人工智能和计算智能(AI/CI)领域进行高层次的概述,并特别提到该领域内不同的核心研究领域是如何相互联系和互动的,无论是实际的还是潜在的。我们确定了该领域的十个主要研究领域:NPC行为学习、搜索和规划、玩家建模、作为AI基准的游戏、程序内容生成、计算叙事、可信代理、AI辅助游戏设计、通用游戏人工智能和商业游戏中的AI。我们从三个关键角度来看待和分析这些领域:1)每个领域使用的主要人工智能方法;2)每个区域相对于最终(人类)用户的关系;3)每个区域在人机(玩家-游戏)互动视角中的位置。此外,对于每一个领域,我们考虑它如何通知或与其他领域相互作用;在我们发现存在或可能存在有意义的相互作用的情况下,我们描述这种相互作用的特征,并提供已发表研究的参考资料(如果有的话)。我们相信本文通过提供一个统一的概述,提高了对游戏AI/CI研究领域的当前性质及其核心领域之间相互依赖性的理解。我们还认为,对研究领域之间潜在相互作用的讨论为许多有趣的未来研究项目和未开发的子领域提供了一个指针。
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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来源期刊
IEEE Transactions on Computational Intelligence and AI in Games
IEEE Transactions on Computational Intelligence and AI in Games COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
4.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Cessation. The IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG) publishes archival journal quality original papers in computational intelligence and related areas in artificial intelligence applied to games, including but not limited to videogames, mathematical games, human–computer interactions in games, and games involving physical objects. Emphasis is placed on the use of these methods to improve performance in and understanding of the dynamics of games, as well as gaining insight into the properties of the methods as applied to games. It also includes using games as a platform for building intelligent embedded agents for the real world. Papers connecting games to all areas of computational intelligence and traditional AI are considered.
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