基于模糊逻辑的智能Agent情感建模

Modeling Emotions for the Intelligent Agent Based on Fuzzy Logic

情感是人类智能中的一个重要表现形式,在人类决策过程中起着重要的作用。认知科学、生理学以及人工智能领域的研究者已提出各类情感模型,但大部分模型都集中于智能agent的反应行为,为此它们通常是根据一些静态的规则或者事先确定的领域知识来生成agent的情感。本文提出了一个新的情感计算模型,并尝试利用模糊逻辑的表征方法建立事件和情感状态间的联系。

Emotion is an important aspect of human intelligence and has been shown to play a significant role in the human 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-deterrnined 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.