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兵工学报 ›› 2025, Vol. 46 ›› Issue (7): 240804-.doi: 10.12382/bgxb.2024.0804

• • 上一篇    

模糊认知图研究进展及其在无人系统中的应用

陈军1, 佟龑1, 牛轶峰2, 于宏渤2, 李霓3, 张馨予1,*()   

  1. 1 西北工业大学 电子信息学院, 陕西 西安 710072
    2 国防科技大学 智能科学学院, 湖南 长沙 410073
    3 西北工业大学 航空学院, 陕西 西安 710072
  • 收稿日期:2024-09-05 上线日期:2025-08-12
  • 通讯作者:
  • 基金资助:
    国家自然科学基金项目项目(61305133); 国家自然科学基金项目项目(61876187); 国家自然科学基金项目项目(52372398); 中国博士后科学基金面上项目(2024M764253); 国家资助博士后研究人员计划项目(GZB20240985)

A Review on Fuzzy Cognitive Map and Its Applications in Unmanned Systems

CHEN Jun1, TONG Yan1, NIU Yifeng2, YU Hongbo2, LI Ni3, ZHANG Xinyu1,*()   

  1. 1 School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
    2 College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, Hunan, China
    3 School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
  • Received:2024-09-05 Online:2025-08-12

摘要:

模糊认知图作为一种兼具模糊推理和类神经网络特征的知识图解软计算模型,与第3代人工智能知识与数据双驱动的发展方向高度契合,已被广泛应用于各个领域。首先,介绍模糊认知图理论的基本概念和原理,从构建方法、学习算法、拓展模型3个方面系统地分析模糊认知图的最新研究进展和存在的主要问题,总结未来研究的主要方向和重点内容;其次,全面梳理和归纳模糊认知图在无人系统(单无人系统、多无人系统、无人-有人系统)中的应用研究情况;最后,通过详细分析自主智能驱动的单无人系统、群体智能驱动的多无人系统以及互信智能驱动的无人-有人系统的技术需求,深入讨论未来模糊认知图在无人系统应用中的重点研究内容和主要研究思路。

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 driven by both knowledge and data,and has been widely used in various fields.Firstly,the basic concepts and principles of FCM theory are introduced,the latest research progress and major existing problems of FCM are systematically analyzed from the three aspects of construction method,learning algorithm and extension model,and the main directions and key contents of the future research are summarized.Secondly,the application research of FCM in unmanned systems (single unmanned systems,multi-unmanned systems,unmanned-manned systems) are comprehensively reviewed and summarized.Finally,the key research contents and main research ideas of FCM in unmanned systems applications in the future are discussed in depth 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.

Key words: fuzzy cognitive map, artificial intelligence, knowledge-data-driven, unmanned systems

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