基于非线性状态空间模型的情感模型研究  

Research on Emotion-model Based on Nonlinear State Space Model

作　　者：孟秀艳[1] 王志良[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《计算机科学》2008年第12期178-182,共5页Computer Science

基　　金：863国家高技术发展计划(No.2007AA04Z200);国家自然科学基金资助项目(No.60573059)资助

摘　　要：如何赋予机器情感智力以实现和谐自然的人机交互是人工情感研究的核心内容,其中情感建模是研究重点和难点。基于心理学的基本情绪论和人格特质论提出了一种非线性情感模型。在模型中首先定义了情绪空间、心境空间和个性空间,确定了心境、个性对情绪的影响关系矩阵;其次采用非线性系统的状态空间模型来模拟人类情感状态的变化;最后对模型进行了仿真,仿真结果表明该模型体现了人类情绪的非线性特点,符合人类情感变化规律。Making the computer have emotion intelligence to realize harmonious natural human-computer interaction is the main research on the artificial emotion. Affective modeling is the key problem in this research field. A nonlinear emotion-model based on basic emotion theory and personality trait theory was presented. In this model, emotion, mood and personality dimension-space were defined, the change of emotion and mood were presented with nonlinear system state space equation. The equation includes the factors that affect human emotion, such as stimulation, personality, and mood. The simulation result indicates this model shows the nonlinear characteristic of human emotion, and conforms to the human emotion change rule.

关 键 词：人工情感 情感建模 状态空间模型 基本情绪论 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP271[自动化与计算机技术—控制科学与工程]