Abstract：In extended-range air-target strike scenarios, conventional kill chain models encounter difficulties in managing the challenges presented by highly dynamic and intensively contested environments. To address this concern, this paper proposes a dynamic kill-web construction methodology grounded in collaborative tactical knowledge. Firstly, the kill web was modelled as a temporally constrained quadruple task-resource allocation graph (S-D-I-T graph), in which the three categories of nodes—S (sensing), D (decision-making), and I (engagement)—must act on the T (target) nodes in a tactically logical sequence. A collaborative tactical knowledge base was then introduced to systematically define task priorities, resource-capability matching rules, and temporal dependencies in common air-target strike scenarios. Finally, a dynamic construction algorithm based on constraint satisfaction and multi-agent negotiation was designed to generate and configure the kill web in realtime, achieving real-time generation and reconfiguration under time-window, resource-capacity, and tactical-logic constraints. Simulation results show that the proposed method significantly outperforms traditional static kill chains and unguided random-allocation strategies in terms of target damage rate, task completion speed, and resilience. This study provides efficient and robust decision support for long-range air-target strike operations.
吴向上等. 基于协同战术知识的杀伤网动态构建[J]. 空天防御, 2026, 9(1): 123-131.
WU Xiangshang, et al. Kill Web Construction Based on Collaborative Tactical Knowledge. Air & Space Defense, 2026, 9(1): 123-131.
