为发挥无人作战飞机(unmanned combat aerial vehicle, UCAV)的决策自主性、减轻UCAV操作员的任务负担,基于智能体模糊认知图(agentbased fuzzy cognitive map, ABFCM)模型框架,设计了包含信息处理、决策推理和人机交互的三层次UCAV自主攻击决策系统ABFCM模型。该模型将UCAV自主攻击决策内容合理地分解在不同层次和功能的Agent中,在分别建立各Agent因果推理模型的基础上,实现了合理有序地组织整个决策推理行为。通过仿真分析,验证了所建模型的合理性和可行性,同时也表明该自主攻击决策模型将有助于UCAV适应未来复杂的战场环境,提升监督控制模式下的自主作战能力。
In order to exert the autonomy of unmanned combat aerial vehicle’s(UCAV) decision-making and relieve the operator’s task burden, based on the agentbased fuzzy cognitive map(ABFCM) model framework, the three-level UCAV’s autonomous attack decision-making model is designed, which contains information processing, decision reasoning and human-vehicle interaction. The contents of UCAV’s autonomous attack decision-making are decomposed into agents of different levels and effects. On the basis of respectively constructing the causal inference model of every agent, the whole decision inference behavior is organized legitimately and orderly. Simulation analysis proves the model’s rationality and feasibility, simultaneously it demonstrates that the autonomous attack decisionmaking model will help UCAV adapt to the increasingly complex battle-field environment, and enhance the independent combat capability under the supervisory control mode.