情感计算数学模型的研究初探

针对计算机如何进行情感计算，提出一种情感空间的概率模型并对其进行了计算机仿真。通过构造状态的概率转移矩阵，得到每个情感状态的概率分布，从而计算出情感的熵值。情感的熵值，表达出所构造的情感的细腻程度。通过计算机仿真，验证了情感模型是符合人类情感规律的——不确定性同时又具有统计规律。最后通过不同参数的仿真，说明此模型可以产生不同的情感活动，为情感机器人数学模型的建立与情感决策支持系统提供了一种新的方法。

Fundamental Analysis of Affective Computing Mathematical Model

Artificial emotion computing is vital for virtual human construction. A novel artificial psychology model based on Markov theory applied to virtual human techniques is presented. The authentic human psychology activities are treated as a Markov process. The probability distribution of affective states is set up by means of the transfer matrix algorithm. Affective entropy is developed to express the specific extent of human emotion. The simulation results demonstrate that the artificial psychology model can produce different kinds of emotion and fit for human affective rules with indetermination and statistic. This model provides a valid method to the emotional robot mathematical model and affective decision system.