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Self-Organization Behaviors of Intelligent Antagonism Target Team of Air Combat Based on Pi-Calculus

机译:基于Pi-演算的空战智能对抗目标团队的自组织行为

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In order to improve the reality and the reliability of the current air combat simulation and the airborne weapon system evaluation in uncertain, hostile, complex and dynamic air combat environment, we propose an intelligent antagonism target team of air combat based on MAS (multi-agent system) under presented research results. To improve the social mental attribution of the target team, we develop a BGOP (belief, goal, obligation, plan) model under the basis of the traditional BDI(belief, desire and intention) model, which represents the mental states of each target agent, and which has the mental attributions related to the combat utilities which affecting the command control decision of the target agent firstly, and then an organization structure of the command control system of target team, is presented, and the self-organization process of the target team combat behaviors, such as task-assignment, task-maintain, task-change, and the task-coordination etc. are described by pi-calculus.
机译:为了提高不确定,敌对,复杂和动态空战环境下当前空战仿真和机载武器系统评估的现实性和可靠性,我们提出了一种基于MAS(多智能体)的空战智能对抗目标团队系统)。为了提高目标团队的社会心理归因,我们在传统的BDI(信念,愿望和意图)模型的基础上开发了BGOP(信念,目标,义务,计划)模型,该模型表示每个目标代理的心理状态并具有与作战工具有关的心理属性,这些属性首先会影响目标特工的指挥控制决策,然后提出目标团队指挥控制系统的组织结构,以及目标的自组织过程pi演算描述了团队的战斗行为,例如任务分配,任务维护,任务变更和任务协调等。

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