关键词: 模糊认知图, 人工智能, 知识与数据驱动, 无人系统

Abstract: Fuzzy cognitive map (FCM), as a kind of knowledge graphical soft computing model with both fuzzy reasoning and neural network-like features, is highly compatible with the development direction of the third generation of artificial intelligence which is driven by both knowledge and data, and has been widely used in various fields. Firstly, the basic concepts and principles of FCM theory is introduced, the latest research progress and major existing problems of FCM is systematically analyzed from three aspects: construction methods, learning algorithms, and extension models, and the main directions and key contents of the future research is summarized. Secondly, it comprehensively combs through and summarizes the application research of FCM in unmanned systems (single unmanned systems, multi-unmanned systems, unmanned-manned systems). Finally, by analyzing in detail the technical requirements of single unmanned systems driven by autonomous intelligence, multi-unmanned systems driven by swarm intelligence, and unmanned-manned systems driven by mutual trust intelligence, it is discussed in depth the key research contents and main research ideas of FCM in unmanned systems applications in the future.

Key words: fuzzy cognitive map (FCM), artificial intelligence, knowledge and data driven, unmanned systems