摘要
无人集群博弈对抗是一种新兴的作战样式,在智能化战争扮演着至关重要的作用,其核心是自主生成博弈对抗决策序列,为集群“赋能”。分析了无人集群博弈对抗系统仿真验证的进展;从基于专家系统和博弈论的技术、基于群体智能和优化理论的技术,以及基于神经网络和强化学习的技术三个方面论述了自主决策关键技术,以及课题组在自主决策上开展的相关工作;提出了无人集群博弈对抗的发展方向。
Unmanned swarm game confrontation is a new combat mode and plays a crucial role in intelligent warfare.Its core is the autonomous generation of a series of game confrontation decision sequences to"empower"the swarm.The progress of system simulation verification for the unmanned swarm game confrontation is analyzed.The key technologies of the autonomous decision-making are discussed from three aspects,technology based on expert systems and game theory,technology based on swarm intelligence and optimization theory,and technology based on neural networks and reinforcement learning.The key technology research conducted by the author's team on the autonomous decision-making is presented.The development directions of the unmanned swarm game confrontation are proposed.
作者
梁晓龙
杨爱武
张佳强
侯岳奇
王宁
黄骁
龚俊斌
Liang Xiaolong;Yang Aiwu;Zhang Jiaqiang;Hou Yueqi;Wang Ning;Huang Xiao;Gong Junbin(Air Traffic Control and Navigation College,Air Force Engineering University,Xi'an 710051,China;Shaanxi Key Laboratory of Meta-Synthesis for Electronic and Information System,Xi'an 710051,China;China Ship Development and Design Center,Wuhan 430064,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2024年第4期805-816,共12页
Journal of System Simulation
关键词
无人集群
博弈对抗
自主决策
系统仿真验证
unmanned swarm
game confrontation
autonomous decision-making
system simulation validation