Lance Menthe

The U.S. Air Force's electronic warfare integrated reprogramming enterprise examines intelligence on threats that emit in the electromagnetic spectrum and configures software and hardware to enable aircraft to react. The research team conducted case studies with the elements necessary for creating a near-real-time, autonomous, inflight software reprogramming capability and artificial intelligence-enabled cognitive electronic warfare capabilities.

Rapid progress in artificial intelligence (AI) for game-playing has inspired intense interest in the possible benefits of the technology for wargames. Advocates have suggested that AI might make wargames more effective or make it possible to apply wargames to novel problems. This report presents an assessment of the limits to applying AI technologies to wargaming and opportunities for future investments to productively employ AI in wargames.

This report, which describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective, presents an analytical framework for assessing the suitability of a given AI system for a given C2 problem. The authors also provide metrics that can be used to evaluate AI systems and to demonstrate and socialize their utility.

This volume serves as the technical analysis to a report concerning the potential for artificial intelligence systems to assist in Air Force command and control (C2). The authors present their analysis of the problem characteristics and solution capabilities described in Volume 1. They provide details about the expert panel used to gather data and three technical case studies that demonstrate a wide range of solutions to various C2 problems.

The Air Force has begun to evaluate new concepts of operation for remotely piloted aircraft to meet future needs. This report analyzes the operational effectiveness of several such concepts in a specific, permissive hunter-killer mission, which illuminates trade-offs between platform size and number; sensor performance; and the complicating effects of darkness, fog, and cloud cover."

The Collection Operations Model (COM) is a stochastic, agent-based simulation that supports the analysis of command, control, communications, intelligence, surveillance, and reconnaissance (C3ISR) processes. Written for the System Effectiveness Analysis Simulation environment, the COM models the real-time interaction of many players to help answer questions about force mix, system effectiveness, concepts of operations, and basing and logistics.

Decisionmaking within the Future Battle Command structure will demand an increasing ability to comprehend and structure information on the battlefield. Decision aids must be modified accordingly.Using information about friendly and enemy forces and the terrain, and a RAND-developed model that incorporates a genetic algorithm, this book determines preferred Blue routes around Red forces, and allocates forces to these routes.