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A Panorama of Artificial and Computational Intelligence in Games

机译：游戏中的人工智能和计算智能全景

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摘要

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.
机译：本文试图从总体上概述游戏中的人工智能和计算智能（AI / CI）领域，并特别参考该领域内不同的核心研究领域如何相互交流，无论是实际还是潜在地。我们确定了该领域的十个主要研究领域：NPC行为学习，搜索和计划，玩家建模，以AI为基准的游戏，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AI游戏。我们从三个关键角度查看和分析区域：1）每个区域下使用的主要AI方法； 2）每个区域与最终（人类）用户的关系； 3）在人机交互（玩家游戏）视角内每个区域的位置。此外，对于这些领域中的每个领域，我们都考虑它如何为其他领域提供信息或与之互动；在发现有意义的相互作用存在或可能的情况下，我们将描述这种相互作用的特征，并为已发表的研究提供参考。我们认为，本文通过提供统一的概述，可以增进对游戏AI / CI研究领域的当前性质及其核心领域之间相互依存关系的理解。我们还相信，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指示。

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