摘要：

根据情绪心理学理论，提出先天预置和后天习得2个层次的人工情绪模型。用有限状态机的矩阵模型实现先天原始基本情绪智能的再现，克服“事件-情绪-行为”序列对需要存储空间的缺点，提高了模型的实时性。用Lapicque神经细胞模型描述情绪状态转换的过渡过程，并给出模型仿真结果。

关键词: 有限状态机, 矩阵模型, 人工情绪

Abstract:

This paper proposes a two-layer artificial emotion model has inborn level and learning level according to the emotion psychology theory. The inborn emotion is recurrence through matrix model of state machine to overcome the defect that “event-emotion-behavior” sequence pairs need storage space. A neural cell model named Lapicque is used to describe the transition of emotion state. Simulation result is presented.

Key words: finite state machine, matrix model, artificial emotion

中图分类号: 

• TP18