摘要
针对智能任务规划中存在的子任务拆解难、战场事件模糊性强、作战伦理难以权衡等问题,提出一种基于人机认知协作的智能任务规划系统架构。通过解构态势感知、情况判断、方案生成、方案评估和行动控制五维认知过程,建立人机能力互补模型,结合动态权重分配机制实现认知任务优化分工。系统采用三层架构设计:数据支撑层集成作战规则库、历史案例库及心理监测模块等组件,提供多源数据融合;智能处理层基于知识图谱与混合推理引擎辅助实现态势推演、伦理评估及创新方案生成;人机协同层通过神经认知增强、伦理约束建模和动态任务协商模块,构建双向认知闭环。研究成果可为提升人机融合规划质效提供重要理论支撑。
To address challenges in intelligent mission planning,including subtask decomposition,battlefield event ambiguity,and ethical trade-offs,a system architecture based on human-machine cognitive collaboration is proposed.By deconstructing cognitive processes into five dimensions(situational awareness,assessment,plan generation,evaluation,and action control),a capability complementarity model is established,optimized through dynamic weight allocation.The three-layer architecture comprises:a data support layer integrating operational rules,historical cases,and psychological monitoring for multi-source fusion;an intelligent processing layer utilizing knowledge graphs and hybrid reasoning engines for situational deduction,ethical assessment,and innovative planning;and a human-machine collaboration layer enabling bidirectional cognition via neural enhancement,ethical constraints,and dynamic task negotiation.Some reference for improving the quality and efficiency of human-machine collaboration mission planning system can be concluded from the study.
作者
田伟
郭志强
TIAN Wei;GUO Zhiqiang(Unit 92192 of PLA,Ningbo 315100,China)
出处
《指挥控制与仿真》
2025年第6期30-38,共9页
Command Control & Simulation
关键词
人机认知协作
智能任务规划
动态权重分配
能力互补模型
human-machine cognitive collaboration
intelligent mission planning
dynamic weight allocation
capability complementarity model
