Journal of Defense Management
Open Access

Gene Lee

Publications

• Research Article
  Genetic Fuzzy based Artificial Intelligence for Unmanned Combat Aerial Vehicle Control in Simulated Air Combat Missions
  Author(s): Nicholas Ernest, David Carroll, Corey Schumacher, Matthew Clark, Kelly Cohen and Gene LeeNicholas Ernest, David Carroll, Corey Schumacher, Matthew Clark, Kelly Cohen and Gene Lee
  
  Breakthroughs in genetic fuzzy systems, most notably the development of the Genetic Fuzzy Tree methodology, have allowed fuzzy logic based Artificial Intelligences to be developed that can be applied to incredibly complex problems. The ability to have extreme performance and computational efficiency as well as to be robust to uncertainties and randomness, adaptable to changing scenarios, verified and validated to follow safety specifications and operating doctrines via formal methods, and easily designed and implemented are just some of the strengths that this type of control brings. Within this white paper, the authors introduce ALPHA, an Artificial Intelligence that controls flights of Unmanned Combat Aerial Vehicles in aerial combat missions within an extreme-fidelity simulation environment. To this day, this represents the most complex application of a fuzzy-logic based Artificial.. View More»
  DOI: 10.35248/2167-0374.19.144

  Abstract PDF

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