Exploring the feasibility and utility of machine learning-assisted command and control / Matthew Walsh, Lance Menthe, Edward Geist, Eric Hastings, Joshua Kerrigan, Jasmin Léveillé, Joshua Margolis, Nicholas Martin, Brian P. Donnelly.

Format:

Book

Author/Creator:

Walsh, Matthew, author.

Menthe, Lance, author.

Geist, Edward, author.

Hastings, Eric, author.

Kerrigan, Joshua, author.

Léveillé, Jasmin, author.

Margolis, Joshua, author.

Martin, Nicholas, author.

Donnelly, Brian, author.

Language:

English

Subjects (All):

United States. Air Force.

United States.

Artificial intelligence--Military applications--United States.

Artificial intelligence.

Command and control systems--United States.

Command and control systems.

Artificial intelligence--Military applications.

Physical Description:

2 volumes : illustrations (some color) ; 23 cm

Place of Publication:

Santa Monica, Calif. : RAND Corporation, [2021]

Summary:

This volume serves as the technical analysis to a report concerning the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective. The authors detail the taxonomy of ten C2 problem characteristics. They present the results of a structured interview protocol that enabled scoring of problem characteristics for C2 processes with subject-matter experts (SMEs). Using the problem taxonomy and the structured interview protocol, they analyzed ten games and ten C2 processes. To demonstrate the problem taxonomy and the structured interview protocol for a C2 problem, they then applied them to sensor management as performed by an air battle manager. The authors then turn to eight AI system solution capabilities. As for the C2 problem characteristics, they created a structured protocol to enable valid and reliable scoring of solution capabilities for a given AI system. Using the solution taxonomy and the structured interview protocol, they analyzed ten AI systems. The authors present additional details about the design, implementation, and results of the expert panel that was used to determine which of the eight solution capabilities are needed to address each of the ten problem characteristics. Finally, they present three technical case studies that demonstrate a wide range of computational, AI, and human solutions to various C2 problems.

Contents:

Vol. 1. Findings and recommendations

vol. 2. Supporting technical analysis.

Notes:

"RAND Project AIR FORCE."

"Prepared for the Department of the Air Force."

Includes bibliographical references.

ISBN:

9781977407092

1977407099

1977407102

9781977407108

OCLC:

1260191764