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A RAND Analysis Tool for Intelligence, Surveillance, and Reconnaissance
The RAND Corporation's Collection Operations Model (COM) is a stochastic, agent-based simulation tool designed to support the analysis of command, control, communications, intelligence, surveillance, and reconnaissance (C3ISR) processes and scenarios. Written for the System Effectiveness Analysis Simulation modeling environment, the COM is used to study processes that require the real-time interaction of many players and to answer questions about force mix, system effectiveness, concepts of operations, basing and logistics, and capability-based assessment. It can represent thousands of autonomous, interacting platforms and explore the capabilities of a wide range of intelligence, surveillanc...
Technology Innovation and the Future of Air Force Intelligence Analysis
There is growing demand for the Air Force Distributed Common Ground System (AF DCGS) to analyze sensor data. The authors assessed how new tools and technologies, including artificial intelligence and machine learning (AI/ML), can help meet these demands. The authors assessed AF DCGS tools and processes, surveyed the state of the art in AI/ML methods, and examined best practices to encourage innovation and to incorporate new tools.
The Effectiveness of Remotely Piloted Aircraft in a Permissive Hunter-killer Scenario
This report analyzes the operational effectiveness of several new concepts for employing remotely piloted aircraft in a permissive “hunter-killer” mission.
Technology Innovation and the Future of Air Force Intelligence Analysis
The authors recommend tools, technologies, and processes to address the growing demand for Air Force Distributed Common Ground System support as it relates to intelligence squadrons within the 480th Intelligence, Surveillance and Reconnaissance Wing.
Leveraging the Past to Prepare for the Future of Air Force Intelligence Analysis
This report describes steps the U.S. Air Force can take to help ensure that it has the capability needed to provide intelligence analysis support to a broad range of service and combatant commander needs, including support to ongoing irregular warfare operations, and to conventional warfare with a near-peer competitor.
Understanding the Limits of Artificial Intelligence for Warfighters
Rapid progress in artificial intelligence (AI) for game-playing has inspired intense interest in the possible benefits of the technology for wargames. This report presents an assessment of the limits to applying AI technologies to wargaming.
Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control: Findings and recommendations
This report describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2). The authors develop a framework and metrics for assessing the suitability of a given AI system for a given C2 problem.
Understanding the Limits of Artificial Intelligence for Warfighters
The U.S. Air Force is increasingly interested in the potential for artificial intelligence (AI) to enhance various aspects of warfighting. This project seeks instead to understand the limits of AI for warfighting applications.
Data-Enabled Approaches for Enhancing the Air Force Transformational Capability Pipeline
To aid the Air Force Transformational Capabilities Office, the authors of the report developed a data science tool to extract information from free-text descriptions. They demonstrate the tool and foresight methods in three case studies.
