摘要
以心理动力学中心理能量概念为基础,根据情感能量守恒定律,建立了情感状态能量分布描述空间和情感状态的概率描述空间,分析情绪状态的变化过程,提出情绪状态自发转移过程的隐马尔可夫链及其模型算法.利用MATLAB建立相关情感状态变化的仿真研究平台,研究情感状态的变化规律.根据以上人工心理情感模型及其变化规律构建出个人机器人综合研究平台软、硬件体系结构,并通过该系统的实际运行实验验证了其有效性.
An affective energy distributing model and affective state probability description space were set up on the basis of the psychological energy of the psycho-dynamics and affective energy conservation law. The emotional state transferring process and the hidden Markov chain algorithm for self-inspired transition processes were then studied. The personal robot platform, consisting of hardware with a software architecture, was based on the affective model of artificial psychology. Simulation results and experiments on this personal robot platform showed that the mathematical model was an accurate representation of affective state change rules in human beings. They effectively demonstrated the validity of the model.
出处
《智能系统学报》
2009年第1期59-66,共8页
CAAI Transactions on Intelligent Systems
基金
国家高技术研究计划资助项目(2007AA04Z218)
国家自然科学基金资助项目(60573059)
关键词
概率描述空间
自发转移过程
隐马尔可夫链
人工心理情感模型
个人机器人
probability description space
self-inspired transition process
Hidden Markov chain
affective model of artificial psychology
personal robot
