Modeling Emotions for the Intelligent Agent Based on Fuzzy Logic
基于模糊逻辑的智能Agent情感建模

Emotion is an important aspect of human intelligence and has been shown to play a significant role in the hu- man decision-making process. Researchers in areas such as cognitive science, physiology, and artificial intelligence have proposed a variety of models of emotions. Most of the previous models focus on an agent's reactive behavior, for which they often generate emotions according to static rules or pre-determined domain knowledge. In this paper, we propose a new computational model of emotions that uses a fuzzy-logic representation to map events and observations to emotional states.