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基于模糊认知图的情感Agent模型研究 被引量:3

Research on emotion agent model based on fuzzy cognitive map
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摘要 人工情感是人工心理的一个主要研究内容。从研究人工情感出发,提出一种基于模糊认知图的情感Agent建模的方法。模糊认知图模型通过在传统认知图模型中引入模糊测度来量化概念间因果关系的影响程度。Agent的知识由内部组元的状态以及组元之间的关系权值进行描述,用简单数值运算代替了复杂的符号逻辑来实现Agent的智能推理和决策。通过实验表明,该模型设计简单、易于扩展、适用性好。 Artificial emotion is the primary research content of artificial psychology.According to research on artificial emotion ,a useful and efficient approach for emotion agent model based on fuzzy cognitive map is offered.The relationships between the cause and the effect concepts cognitive map can be extended into fuzzy relationships by fuzzy cognitive map(FCM).Agent knowledge has been described by inner component sand joint weights between them.Inference has been carried out by numerical computation instead of symbolic deduction.The experiment results show that model is easy to extend and is characterized by high applicability.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第17期1-3,共3页 Computer Engineering and Applications
基金 国家自然科学基金(the National Natural Science Foundation of China under Grant No.60573059)
关键词 人工心理 情感Agent 模糊认知图 artificial psychology emotion Agent fuzzy cognitive map
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参考文献7

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二级参考文献26

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