本文探討以模糊推論對一具有情感表達特性之機器人其情感模型之演算機制。本文透過結合二階動 態情感方程式與模糊推論二者合成產生情緒行為，並經由行為觸發之機制來改變情感模型之動態特性， 同時以模糊演算法將情感動態之輸出平順化，使其情感之表達更為接近一般人物之特性。此情緒行為生 成系統以行為式架構為其系統推論之主要結構方式，其藉由外部刺激與環境特徵輸入，應用具二階動態 特性之情感平面模型與模糊邏輯推論機制以生成多樣且細膩之情緒行為輸出。本文最後以LabVIEW 模擬 其情感之推論演算之結果並以面部圖形模擬之表情顯現其功能與效果。

This paper discusses a fuzzy based computational algorithm used in the development of an artificial emotion model for the social robot. In this design, the system synthesizes the emotion behavior by combining a second order equation of emotion and the fuzzy inference. A trigger mechanism activated by behavior is also integtated in the system to change the dynamic characteristics of the emotion model. The emotion dynamic output is smoothed by using the fuzzy algorithm in order to result a natural emotional expressions .The program structure of the concluded emotion behavior generation systems is established by using the methods of behavioral-based structure which meticulous and diverse outputs behavior of the system in reacts of the outputs of second order equation of emotion model and fuzzy inference from external sensory and features inputs. The system is build and simulated with the LabVIEW and output an artificial facial expression on the screen to demonstrate the effectiveness of the design.