首页> 外文会议>International Symposium on Intelligence Computation amp; Applications(ISICA'2007); 20070921-23; Wuhan(CN) >The Transformation Between Fuzzy Cognitive Maps and a Class of Simplified Dynamical Cognitive Networks
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The Transformation Between Fuzzy Cognitive Maps and a Class of Simplified Dynamical Cognitive Networks

机译:模糊认知图与一类简化的动态认知网络之间的转换

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摘要

Cognitive Map (CM), Fuzzy Cognitive Map (FCM), and Dynamical Cognitive Network (DCN) are three related tools for modeling human being's cognition and facilitate machine inference accordingly. A main desirable feature of FCM is that it is easy to use for modeling and visualizing human knowledge. Different models in the CM family have different capabilities in capturing human knowledge. However, a recent theoretical result shows that a CM can be transformed into a FCM and vice versa. This paper reports that a class of simplified DCN can also be transformed into FCM.
机译:认知图(CM),模糊认知图(FCM)和动态认知网络(DCN)是用于建模人类认知并相应地促进机器推理的三个相关工具。 FCM的主要期望特征是易于用于建模和可视化人类知识。 CM系列中的不同模型在捕获人类知识方面具有不同的功能。但是,最近的理论结果表明,CM可以转换为FCM,反之亦然。本文报告说,一类简化的DCN也可以转换为FCM。

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