The generation of music that adapts dynamically to content and actions has an important role in building more immersive, memorable, and emotive game experiences. To date, the development of adaptive music systems (AMSs) for video games is limited both by the nature of algorithms used for real-time music generation and the limited modeling of player action, game-world context, and emotion in current games. We propose that these issues must be addressed in tandem for the quality and flexibility of adaptive game music to significantly improve. Cognitive models of knowledge organization and emotional effect are integrated with multimodal, multiagent composition techniques to produce a novel AMS. The system is integrated into two stylistically distinct games. Gamers reported an overall higher immersion and correlation of music with game-world concepts with the AMS than that with the original game soundtracks in both the games.

中文翻译：

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游戏的自适应音乐创作

生成能动态适应内容和动作的音乐，在打造更加身临其境、令人难忘和情绪化的游戏体验方面发挥着重要作用。迄今为止，用于视频游戏的自适应音乐系统 (AMS) 的开发受到用于实时音乐生成的算法的性质以及当前游戏中玩家动作、游戏世界背景和情感的有限建模的限制。我们建议必须同时解决这些问题，以显着提高自适应游戏音乐的质量和灵活性。知识组织和情感效应的认知模型与多模态、多代理组合技术相结合，以产生一种新的 AMS。该系统集成到两个风格不同的游戏中。