Artificial Intelligence and Machine Learning Applications for Defensive Counterspace: A Decision Support Tool Capability Demonstration

reportActive / Technical Report | Accesssion Number: AD1218982 | Open PDF

Abstract:

This report builds on a prior-year effort to harness artificial intelligence and machine learning(AI/ML) for decision support in defensive counterspace (DCS) missions. This updated effort aims to improve the AI/ML model for DCS missions, to improve the physics-based modeling and simulation tool, and to incorporate a user interface. The intended audience for this report includes U.S. Space Force leaders, requirements staff, space operators, and AI/ML experts who are interested in the broader context for which the models were developed.

Author(s):
Nacouzi, George ; Osoba, Osonde A. ; Tran, Jonathan ; Ishikawa, Sascha
Author Organization(s):
RAND CORP SANTA MONICA CA
Funding Organization(s):
DEPARTMENT OF THE AIR FORCE WASHINGTON DC, WASHINGTON, DC
Document Type:
Technical Report/Research Report
Publication Date:
2024 Jan 17
Pagination:
33

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release.
Copyright: Not Copyrighted

RECORD

Collection: TRECMS
Identifying Numbers
Contract Number(s):
FA7014-22-D-0001
 Subject Terms
Descriptor(s):
space force, air force, artificial intelligence, space situational awareness, information processing, information systems, machine learning, space systems, military operations, situational awareness, united states, user interface, artificial satellites, department of defense, military applications, national security, space based
Keyword(s):
ai(artificial intelligence), ml(machine learning), dcs(defensive counterspace), ussf(united states space force), isr(intelligence, surveillance, and reconnaissance)
Subject Categories:
Mathematical and Computer Sciences
Creation Date:
2024 Jan 29
Update Date:
2024 Feb 01