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Acta Armamentarii ›› 2024, Vol. 45 ›› Issue (4): 1025-1037.doi: 10.12382/bgxb.2022.1077

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Knowledge Reasoning-based Intelligent Design Method of Kill-web

WAN Silai, WANG Guoxin, MING Zhenjun*(), YAN Yan, HAO Jia   

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
  • Received:2022-11-21 Online:2024-04-30
  • Contact: MING Zhenjun

Abstract:

A knowledge reasoning-based intelligent design method of kill-web is proposed for the problems of strong dependence on human experience and low intelligence in the design of kill-web. Based on the OODA theory, a multi-level kill-web ontology including combat mission-combat capability-wWeapon equipment is constructed to model the static knowledge related to kill-web design. Three types of kill-web design rule bases, namely mission-capability-equipment mapping rule, equipment coordination rule and kill chain coordination rule, are constructed to model the dynamic knowledge related to kill-web design. Based on static knowledge and dynamic knowledge, a knowledge reasoning-based intelligent design process framework of kill-web is proposed, in which three kill-chain evaluation metrics of time, precision and cost are defined in order to quickly and intelligently design a kill-web in actual combat situations. Taking the air defense and anti-missile system of systems as an example the effectiveness of the proposed method is verified on a simulation platform.

Key words: kill-web, ontology, reasoning, OODA loop

CLC Number: