Research on Evaluation Method of UAV's Contribution Degree to Army Aviation Combat System Based on Simulation Deduction

Duan, Liangdi; Wang, Min; Lin, Zhichao; Li, Jialiang; Shi, Hanyue; Zhou, Yaoming

doi:10.1109/ccdc52312.2021.9602660

Cited by 3 publications

(1 citation statement)

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“…In scenarios involving "one person to multiple targets," commanders often struggle to efficiently provide shooter recommendations that ensure both quality and quantity in typical and complex situations. With the extensive implementation of artificial intelligence technology in the realm of combat decision-making assistance, various intelligent shooter recommendation systems have been reported [1][2][3][4] . Since 2020, the US Army has been utilizing artificial intelligence technology in different stages of the closed kill chain within system operations to accomplish its multi-domain warfare objectives.…”

Section: Introductionmentioning

confidence: 99%

Research on recommended methods for shooters in air defense systems based on behavior tree agents

Yang,

Huang,

Wang

et al. 2024

Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024)

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In the process of implementing multi-target interception by the air defense system of systems (SoS), the deployment position, interception range, and weapon speed of each fire unit in the air defense SoS vary due to the different characteristics of the various incoming air targets, the direction of attack, and the interception value, among other factors. Facing many different incoming targets, recommending the most suitable air defense unit to intercept in the Air Defense System of Systems (SoS) is a typical decision problem. This paper presents a novel model for utilizing interception suitability to support situation-driven shooter recommendations in air defense systems. To account for typical situational factors such as target threats, shooter deployment, and remaining firepower, the interception suitability computational model is designed to incorporate each of these variables. This model determines the level of suitability of an interception solution for a given context. To operationalize this concept, a behavior tree was developed to outline the decision-making process for recommending shooter intercept strategies based on the level of interception suitability presented by a given scenario. The model was then tested through simulation experiments conducted by a behavior-tree agent in typical task scenarios, showcasing its effectiveness in enhancing the overall interception efficiency of air defense systems.

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Section: Introductionmentioning

confidence: 99%