Research on the Decomposition Method of Intelligent Group Tasks Based on the Target-Backward Propagation Flow

In view of the decomposition and planning of Intelligent group combat missions at sea, this paper proposes a reverse mission decomposition and parameter modeling method based on the Target-Backward Propagation Flow. Based on the Target-Backward Propagation Flow, the four core task modules of search, tracking, strike and communication have been constructed, the functional boundaries and internal logic of each task type have been clarified, a unified task unit model has been built, and the operational sub-tasks have been formally modeled and algorithm flow designed. Adopt the reverse task decomposition mechanism, aim at the requirements of strike effect, and push back the parameters and resource conditions required for the front task step by step to ensure the consistency of the task chain parameters and the logical closed loop of the combat process. By constructing task decomposition assumptions and task instance decomposition, the advantages of this method in terms of task coverage, resource scheduling efficiency and execution accuracy are verified, and effective theoretical and technical support is provided for the coordinated operation of Intelligent groups at sea.