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Air Support for Intelligent Aggressor

This paper presents an innovative approach to air support utilizing intelligent aggressor models for effective military strategy. Developed by researchers from the University of Nevada, Reno's Evolutionary Computing Systems Lab, it explores advanced algorithms and simulations to enhance decision-making processes in air combat scenarios. By leveraging artificial intelligence, the system aims to optimize air support tactics, improve operational efficiency, and ultimately, support mission success in modern warfare. The methodologies and findings are discussed in detail.

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Air Support for Intelligent Aggressor

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  1. Air Support for Intelligent Aggressor Sushil J. Louis, Kostas Bekris Ramona Houmanfar, Chris Miles, Phillipa Avery University of Nevada, Reno Evolutionary Computing Systems Lab (ECSL (excel)) http://ecsl.cse.unr.edu (sushil@cse.unr.edu)

  2. Full Mission BridgeOn the bridge

  3. FMB instructor operator station

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