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基于多智能体的指挥控制系统协同作战模型

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针对传统线性机械的各种科学理论方法所开发的指挥控制系统作战模型对复杂战场环境的分析、处理和计算与实际情况存在很大误差的问题,提出一种基于多智能体(agent)的指挥控制系统协同作战模型.构建了基于多agent的作战建模仿真方法和多agent的作战模型建模流程,制定了作战想定;针对现阶段的多agent作战仿真模型太过简单、仿真模型内涉及的智能体种类太少的问题,扩充了作战仿真模型中agent的种类,强调了各个智能体之间的相互关系;基于Anylogic开发平台,创建一种新的复杂多智能体协同作战系统模型,模拟真实环境进行多智能体协同作战.实验结果表明,新构建的指挥控制系统多智能体作战模型中智能体种类更加全面,互相协同作战能力显著提高,更加真实地反映出现代化战争中复杂的作战环境.
Cooperative Combat Model of Command and Control System Based on Multi-agent
To address the issue where the combat model of command and control system developed by all kinds of traditional linear mechanical scientific theories and methods and real conditions lead to significant discrepancies in the analysis,processing,and computation of the complex battlefield environments,a new multi-agent-based collaborative combat model for command and control systems is proposed.First,the modeling and simulation method for combat based on multi-agents,as well as the modeling process for multi-agent combat models,are proposed,and the combat scenario is formulated.Second,to address the limitations of existing multi-agent combat simulation models being overly simplistic and involving too few types of agents in simulation model,the types of agents in the combat simulation model are expanded,with emphasis on the relationships among the various agents.Finally,based on the Anylogic development platform,a new complex multi-agent collaborative combat system model is created,a realistic environment for multi-agent collaborative combat is simulated.The experimental results show that in the newly constructed multi-agent combat model for the command and control system,the range of agent types is broader,collaborative combat capabilities between agents are significantly enhanced,and the complex combat environment in modern warfare is more accurately reflected.

multi-agent cooperative combatoperational scenariotypes of agentsAnylogic platform

王建伟、潘成胜

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南京信息工程大学电子与信息工程学院,南京 210044

南京理工大学自动化学院,南京 210044

多智能体协同作战 作战想定 智能体种类 Anylogic平台

国家自然科学基金重点项目

61931004

2024

指挥与控制学报

指挥与控制学报

CSTPCD北大核心
ISSN:
年,卷(期):2024.10(3)