Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision making in dynamic and uncertain environments, game theory, planning and scheduling, design and education are common research areas shared between games and real-world problems. Numerous open-sourced games or game-based environments have been implemented for studying artificial intelligence. In addition to single- or multi-player, collaborative or adversarial games, there has also been growing interest in implementing platforms for creative design in recent years. Those platforms provide ideal benchmarks for exploring and comparing artificial intelligence ideas and techniques. This paper reviews the game-based platforms for artificial intelligence research, discusses the research trend induced by the evolution of those platforms, and gives an outlook.

翻译：游戏因其广泛存在于现实世界场景中的特性，一直是人工智能研究的理想测试平台。学习与优化、动态与不确定环境中的决策、博弈论、规划与调度、设计与教育等，是游戏与现实世界问题共有的常见研究领域。众多开源游戏或基于游戏的环境已被开发用于人工智能研究。除单人或多人、合作或对抗性游戏外，近年来对创意设计平台实现的关注也日益增长。这些平台为探索和比较人工智能思想与技术提供了理想基准。本文综述了基于游戏的人工智能研究平台，探讨了这些平台演变所引发的研究趋势，并展望了未来发展。