论文研究基于仿真的表演创意智能涌现方法。通过对艺术表演的视频数据进行分析，研究并实现基于仿真的表演创意智能涌现，拓展传统人工进行艺术表演创意带来的局限性。结合艺术表演领域的知识，对视频中的各个表演创意要素进行了分类和定义，随后使用计算机符号化理论与计算机识别的技术对不同的表演创意要素进行了计算机表达。随后使用机器学习的方法，将表演创意进行计算机智能涌现并利用观众评估实验效果。通过实验，该基于仿真的表演创意智能涌现方法能够生成一场简单的艺术表演，并在合理性、逼真度、创新性、与人工创意等四个方面展示了它的可行性。

We study the emergence method of performance creative intelligence based on simulation. By analyzing the video of art performances, we research and realize the intelligent emergence of performance creativity based on simulation and expand the limitations brought by traditional artificial art performance creativity. Combined with the knowledge of art performance, each performance creative element in the video is classified and defined, and then the computer symbolization theory and computer recognition technology are used to express different performance creative elements in computer. Then, by using machine learning methods ewe achieve creative emergence of performance ideas and evaluate the experimental effect with the audience. Through experiments, the simulation-based intelligent emergence method of performance creativity can generate a simple artistic performance and demonstrate its feasibility in four aspects: rationality, fidelity, innovation, and artificial creativity.