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Artificial Emotion Model Based on Neuromodulators and Q-learning

机译:基于神经调节器和Q学习的人工情感模型

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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.
机译:提出了一种针对智能系统的情绪行为学习模型。该模型的建立是建立在情感与神经递质之间的对应关系的基础上的,这一关系由脑科学,神经调节剂和Q学习元参数所表明,这使得学习过程更加适应环境。在两个刺激实验中观察到了情绪对智能系统学习能力的影响。结果表明,人工情感模型可以改善智能系统的动作。

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