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

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 17, 2024
Accession Number
AD1218982

Entities

People

  • George Nacouzi
  • Jonathan Tran
  • Osonde A. Osoba
  • Sascha Ishikawa

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Satellites
  • Department Of Defense
  • Information Processing
  • Information Systems
  • Machine Learning
  • Military Applications
  • Military Operations
  • National Security
  • Situational Awareness
  • Space Based
  • Space Force
  • Space Situational Awareness
  • Space Systems
  • United States
  • User Interface

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Space