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| The Development of Rule-based AI Engagement Model for Air-to-Air Combat Simulation |
| Minseok Lee, Jihyun Oh, Cheonyoung Kim, Jungho Bae, Yongduk Kim, Cheolkyu Jee |
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J. KIMS Technol. 2022;25(6):637-647. Published online December 5, 2022 DOI: https://doi.org/10.9766/KIMST.2022.25.6.637 |
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The Development of Rule-based AI Engagement Model for Air-to-Air Combat Simulation Journal of the Korea Institute of Military Science and Technology. 2022;25(6):637-647  Rule-based scheduling of air conditioning using occupancy forecasting Energy and AI. 2020;2:100022 Target threat level assessment based on cloud model under fuzzy and uncertain conditions in air combat simulation Aerospace Science and Technology. 2017;67:49-53 Improving Air Combat Maneuvering Skills Through Self-Study and Simulation-Based Practice Simulation & Gaming. 2016;47(1):103-129 Computer simulation replaces live ordnance in air combat training SIMULATION. 1986;46(6):251-253 A Two-Phase Optimization Model Based on Inexact Air Dispersion Simulation for Regional Air Quality Control Water, Air, & Soil Pollution. 2010;211(1-4):121-134 Study on Consulting Air Combat Simulation of Cluster UAV Based on Mixed Parallel Computing Framework of Graphics Processing Unit Electronics. 2018;7(9):160 Unmanned Combat Air Systems: Technical and Legal Challenges Unmanned Combat Air Systems in Future Warfare. 2015;37-56 An air-to-ground combat survivability model The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 2013;12(3):273-287 Development of Air Combat Effectiveness Simulation and Analysis Scheme for beyond Visual Range (BVR) Case Applied Mechanics and Materials. 2016;842:329-336 |
