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ISSN: 2167-0374

Journal of Defense Management
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Commentary

Fuzzy Logic Based Intelligent Agents for Unmanned Combat Aerial Vehicle Control

Nick Ernest1 and Kelly Cohen2*
1Psibernetix Inc., Liberty Twp., OH, USA
2Aerospace Engineering, University of Cincinnati, Cincinnati, OH, USA
Corresponding Author : Kelly Cohen
Professor of Aerospace Engineering
University of Cincinnati, Cincinnati, OH, United States
Tel: 513 556-3523
E-mail: [email protected]
Received: October 02, 2015; Accepted: December 18, 2015; Published: December 21, 2015
Citation: Ernest N, Cohen K (2015) Fuzzy Logic Based Intelligent Agents for Unmanned Combat Aerial Vehicle Control. J Def Manag 6:139. doi:10.4172/2167-0374.1000139
Copyright: © 2015 Ernest N, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Great strides have been made in remote-operated Unmanned Combat Aerial Vehicles (UCAVS), mostly in terms of ground strike capabilities. However when only millisecond timeframes are allowed for critical decisions to be made, any delay in communications and control severely weakens the combat capability of the system. While some proponents of autonomy focus on the ability to design aircraft that can perform maneuvers no human pilot would maintain consciousness through, or the simple fact those pilots’ lives would no longer be at risk, these are not the only benefits these systems can provide. With an average human visual reaction time of 0.15 to 0.30 seconds, and an even longer time to compute optimal plans and coordinate them with squad mates; this offers a huge window of improvement that an Intelligent Agent (IA) can capitalize upon.

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