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A Multi-Agent Simulation of Intelligence Reconnaissance Warfare

机译:情报侦察战的多智能体仿真

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摘要

To support the advanced concept technology demonstration of operational applications of intelligence reconnaissance system (IRS) on future information battlefield, multi-agent simulation technology is applied in this paper. On the basis of analysis on intelligence processing and modeling process of intelligence reconnaissance warfare (IRW), a role-agent mapping mechanism is presented to set up the mappings from IRS's members to entity agents. Task-tree decomposition approach and task allocation are used to study multi-agent interactions in IRW model. The demonstration system shows that our model can identify main components in IRS and discover their local interactions and behaviors, which acts as the developer's window to dynamic, complex and intelligent IRW.
机译:为了支持情报侦察系统(IRS)在未来信息战场上的作战应用的先进概念技术演示,本文采用了多主体仿真技术。在分析情报侦察战(IRW)的情报处理和建模过程的基础上,提出了一种角色-代理映射机制,建立了IRS成员到实体代理的映射。任务树分解方法和任务分配用于研究IRW模型中的多主体交互。演示系统表明,我们的模型可以识别IRS中的主要组件,并发现它们的本地交互作用和行为,这是开发人员访问动态,复杂和智能IRW的窗口。

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