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Author Voke, Matthew R., author.

Title Artificial intelligence for command and control of air power / Matthew R. Voke, Major, USAF.

Publication Info. Maxwell Air Force Base, Alabama : Air University Press, Muir S. Fairchild Research Information Center, 2019.

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Description 1 online resource (viii, 53 pages) : color illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Wright flyer paper ; no. 72
Wright flyer paper ; no. 72.
Note At head of title: Air University, Air Command and Staff College.
"Accepted by Air University Press April 2018 and published November 2019"--Page ii
Bibliography Includes bibliographical references (pages 49-53).
Contents Introduction. -- Principles of command and control (C2) of airpower. -- AI background. -- Creating AI models. -- Assessment. -- Implementations. -- Conclusion. -- Notes. -- Bibliography.
Summary Computational power, data collection, and algorithm capabilities are increasing at an exponential rate. Artificial Intelligence (AI) advances demonstrate the ability to augment human thoughts and actions in countless areas, among which include the Command and Control (C2) of joint airpower. To triumph in future wars, the United States requires the capability to create multiple dilemmas across multiple domains at an overwhelming speed while preventing the enemy from doing the same. AI will provide the cognitive agility required to C2 forces in providing this capability overmatch. The side with an information advantage and ability to react with high-velocity decision-making will decide the outcome of future wars. This paper attempts to familiarize the reader with some common types and functions of AI, explores specific application areas, and recommends solutions assisting joint targeting using air-power. The development of a weapon to target a pairing system reveals specifics using an example AI creation process. Along with explaining the construction of AI models, this paper also proposes a process for preparing and validating AI for operational use and discusses essential implementation considerations. e desired end state for AI employment in the C2 of joint airpower is efficient human-machine teaming and increased cognitive agility.
Note Online resource; title from PDF title page (Air University, viewed March 5, 2020).
Subject Artificial intelligence -- Military applications.
Air power -- Technological innovations.
Command and control systems -- Technological innovations.
Intelligence artificielle -- Applications militaires.
Forces aériennes -- Innovations.
Commandement militaire -- Innovations.
Artificial intelligence -- Military applications. (OCoLC)fst00817271
Command and control systems -- Technological innovations. (OCoLC)fst00869219
Added Author Air University (U.S.). Press, publisher.
Muir S. Fairchild Research Information Center, issuing body.
Air University (U.S.). Air Command and Staff College, issuing body.
Gpo Item No. 0422-K-09 (online)
Sudoc No. D 301.26/30:72

 
    
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