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AirCombat implements 1v1 to 10v10 drone air combat simulation

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Guyuehome has launched AirCombat, which uses rule-based agents to complete multi-drone air combat swarm engagement simulations ranging from 1v1 to 10v10, covering close-range dogfighting and ten-versus-ten scenarios. The system decomposes air combat decision-making into 48 discrete actions and introduces an abstract weapon engagement model and a formation target allocation mechanism, used to explain the sources of tactical decision-making complexity in multi-aircraft confrontations.

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  1. AirCombat: Tactical Decision-Making and Swarm Engagement Simulation for Multi-UAV Air Combat

    AirCombat uses rule-based agents to simulate UAV air combat swarm engagements ranging from 1v1 to 10v10, covering close-range dogfights and ten-versus-ten scenarios. The system breaks air combat decision-making into 48 discrete actions and introduces an abstract weapon engagement model and a formation target assignment mechanism to explain the sources of tactical decision-making complexity in multi-aircraft confrontations.

    Guyuehome ·

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