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

Format:

Book

Government document

Author/Creator:

Voke, Matthew R., author.

Contributor:

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.

Series:

Wright flyer paper ; no. 72.

Wright flyer paper ; no. 72

Language:

English

Subjects (All):

Artificial intelligence--Military applications.

Artificial intelligence.

Air power--Technological innovations.

Air power.

Command and control systems--Technological innovations.

Command and control systems.

Physical Description:

1 online resource (viii, 53 pages) : color illustrations

Place of Publication:

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

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.

Contents:

Introduction.

Principles of command and control (C2) of airpower.

AI background.

Creating AI models.

Assessment.

Implementations.

Conclusion.

Notes.

Bibliography.

Notes:

At head of title: Air University, Air Command and Staff College.

"Accepted by Air University Press April 2018 and published November 2019"--Page ii

Includes bibliographical references (pages 49-53).

Online resource; title from PDF title page (Air University, viewed March 5, 2020).

OCLC:

1143252132