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作 者:韩月敏[1] 刘非平[1] 刘丽巧[1] 郭勇[1]
出 处:《指挥控制与仿真》2009年第6期6-10,共5页Command Control & Simulation
摘 要:陆战Agent是陆军作战复杂系统ABMS核心的基础要素。友方陆战Agent之间的协作,能够使陆战Agent有效地完成作战任务,提高系统的整体作战能力及面对复杂动态陆战环境变化的应变能力。如何构建符合陆军作战特点的陆战Agent协作机制模型,是陆军作战复杂系统ABMS必须要解决的关键问题之一。针对陆战Agent的"受控性"和层次性,提出了陆战Agent自主协作和上级统一组织协作两种协作模式,探讨了具有单一目标的陆战Agent协作算法和应用集合覆盖理论的作战任务协作分配算法,为陆军作战复杂系统的ABMS奠定了基础。The Land Combat Agent (LCA) is the core of land combat complex system ABMS's basics. Cooperation between friendly LCAs can make the LCAs effectively accomplish their operation task, and enhance the whole combat ability and the ability to meet the changes of the complex and dynamic land combat environment. How to construct the LCAs cooperation mechanism model that accords with the traits of land combat is the key to land combat complex system ABMS. For the "controlled" and hierarchical properties of the LCA, it proposes two cooperation patterns of the LCAs: the peer to peer cooperation and the cooperation organized by superior, and explore the assignment arithmetic of operation tasks by using set covered theory and the cooperation arithmetic of the LCAs that have a common single goal. This model lays the foundation for the land combat complex system ABMS.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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