模拟虚拟人的各种情绪计算模型在很多领域具有重要意义，一个可信的虚拟人不仅要有3维几何形状,而且也要具有自主的情绪。基于已有的情绪模型研究，建立了一种新的基于动机驱动的自主情绪模型。根据心理学和认知科学，提出了虚拟人的认知结构，该结构集成了知觉、情绪、心境、个性和行为。构建了内部动机和外部刺激的一种形式化描述，基本情绪强度可以采用这种模型来计算，而情绪状态是各种基本情绪状态的合成。为了实现情绪的自适应，提出了情绪的增强学习方法。在微机上实现了一个包含虚拟人的3维虚拟场景，这种新的情绪模型能够使虚拟人的自主情绪表现更加可信，实验结果表明了该方法是有效的。

Computational emotion models for virtual humans are very important in many fields. A believable virtual human should have both geometry shape, and autonomous emotion. Based on previous researches on emotion models, a new motivation-driven based autonomous emotion model is set up. A cognitive architecture of virtual human is presented by psychology and neural science; it includes perception, emotion, mood, personality, motivation and behavior. A formalization of inner motivation and external stimuli is built; the intensity of a basic emotion can be calculated in the model, and emotion state is the union of all basic emotions. In order to realize the self-adapting mechanism of emotion, a Q-learning method for emotion learning is also proposed. A 3D virtual scene with virtual humans is realized on PC, new emotion model can make a virtual human’s autonomous emotion expression more believable, the experiment shows that our method is effective in virtual human’s emotion simulation.