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中文摘要：
为聪明的系统的人工的情感模型的层次过程的框架构造根据感情的心理学的基本结论在纸被建议。情感处理的一般方法，考虑仅仅一单个层，在介绍构造被改变了。一个人工的感情的开发模型基于听说机制神经网络的加强被提出。新模型作为加强信号自己拿情感并且在学习相应于不同个性的效率的行动以后描述它的不同影响。最后，模拟结果基于孩子玩伴机器人被讨论，模型的有效性被验证。
英文摘要：
A hierarchical-processed frame construction of artificial emotion model for intelligent system is proposed in the paper according to the basic conclusion of emotional psychology. The general method of emotion processing, which considers only one single layer, has been changed in the presented construction. An artificial emotional development model is put forward based on reinforcement learning mechanism of neural network. The new model takes the emotion itself as reinforcement signal and describes its different influences on action learning efficiency corresponding to different individualities. In the end, simulation result based on child playmate robot is discussed and the effectiveness of the model is verified.
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