火力与指挥控制2026，Vol.51Issue(5)：1-12,12.DOI:10.3969/j.issn.1002-0640.2026.05.001
知识和数据协同驱动的智能作战任务规划框架
Intelligent Combat Mission Planning Framework Driven by Knowledge-data Synergy
摘要
Abstract
With the continuous improvement of informatization level in modern warfare,traditional mission planning methods can hardly meet the requirements of intelligent decision-making.To enhance the combat design capability of our military and seize the initiative in future intelligent battlefields,this paper proposes a knowledge-data synergy-driven framework for intelligent combat mission planning.The framework integrates data-driven situation abstraction and action prediction,knowledge-driven forward search for action sequence generation,as well as large language model-based sample augmentation and network iterative training into different stages of the OODA loop,so as to realize intelligent combat mission planning.关键词
知识和数据协同驱动/作战任务规划/OODA环/层次任务网/蒙特卡洛树搜索/抽象技术/大语言模型Key words
knowledge-data synergy-driven/combat mission planning/OODA loop/hierarchical task network/Monte Carlo tree search/abstraction technology/large language model分类
信息技术与安全科学引用本文复制引用
邵天浩,张青,张可,程恺..知识和数据协同驱动的智能作战任务规划框架[J].火力与指挥控制,2026,51(5):1-12,12.基金项目
国家自然科学基金资助项目(61806221) （61806221）
