Artificial emotion model based on neuromodulators and Q-Iearning
An emotion behavior learning model is presented for intelligent system in this paper. The proposed model was constructed on the basis of those corresponding relationships between emotions and neurotransmitters which was indicated by the brain science, neuromodulators and meta-parameters of Q-learning which made the learning process more adaptive to environment. The emotional effect on the learning capability of intelligent system was observed in two stimulation experiments. The results confirm that artificial emotion model could improve the actions of intelligent system.
neuromodulators Q-learning emotion model reinforcement learning
Xuefei Shi Zhiliang Wang Qiong Zhang
School of Information and Engineering University of Science and Technology Beijing Beijing China
国际会议
秦皇岛
英文
167-170
2010-11-05（万方平台首次上网日期，不代表论文的发表时间）