动态认知网络——模糊认知图的扩展

Proceedings 11th International Conference on Tools with Artificial Intelligence Pub Date : 1999-11-08 DOI:10.1109/TAI.1999.809764

Yuan Miao, Zhi-qiang Liu, Shi Li, C. Siew

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引用次数: 188

摘要

提出了一种动态认知网络(DCN)，它是模糊认知图(FCM)的系统扩展。动态认知网络中的每个概念都可以有自己的值集，这取决于它在网络中需要描述的精确程度。这使得动态认知网络能够描述原因的强度和结果的程度。这种能力也使DCN能够通过数值计算而不是符号演绎来进行推理。DCN的弧线定义了概念之间的动态关系，并描述了因果过程。DCN克服了FCM的问题，同时又不失其本质优势。

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Dynamical cognitive network-an extension of fuzzy cognitive map

We present a dynamic cognitive network (DCN) which is a systematic extension of the fuzzy cognitive map (FCM). Each concept in a dynamic cognitive network can have its own value set, depending on how precisely it needs to be described in the network. This enables the dynamic cognitive network to describe the strength of the cause and the degree of the effect. This ability also enables DCN to carry out inferences via numerical calculation instead of symbolic deduction. The arcs of DCN define dynamic relationships between concepts and describe the causal procedures. DCN overcomes the problems of FCM without losing the essential advantages.

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Proceedings 11th International Conference on Tools with Artificial Intelligence

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