摘要
Abstract
To address challenges in intelligent mission planning,including subtask decomposition,battlefield event ambigu-ity,and ethical trade-offs,a system architecture based on human-machine cognitive collaboration is proposed.By decon-structing cognitive processes into five dimensions(situational awareness,assessment,plan generation,evaluation,and ac-tion 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 cog-nition 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.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Key words
human-machine cognitive collaboration/intelligent mission planning/dynamic weight allocation/capability complementarity model分类
信息科学与系统科学
