LEVERAGING ARTIFICIAL INTELLIGENCE (AI) FOR AIR AND MISSILE DEFENSE (AMD): AN OUTCOME-ORIENTED DECISION AID

The military has recognized the need for automated decision aids to support battle management as warfighters become overwhelmed by shorter decision cycles, greater amounts of data, and more technology systems to manage. To date, much emphasis has focused on data acquisition, data fusion, and data analytics for gaining situational awareness in the battle space. However, a new frontier and opportunity exists for using this data to develop decision options and predict the consequences of military courses of action. This project studied the application of artificial intelligence (AI) to improve battle management decisions in the time-sensitive air and missile defense (AMD) environment. Specifically, this project studied current and future AI applications to the AMD kill chain with a model-based systems engineering (MBSE) approach. The team modeled the AMD kill chain by allocating time to the various kill chain functions and decisions, based on the time afforded by the incoming AMD threat. The team used simulations to analyze and demonstrate the use of automation in the kill chain functions to expedite decisions and improve AMD battle management.Civilian, Department of the ArmyCivilian, Department of the ArmyCivilian, Department of the ArmyCaptain, United States Marine CorpsApproved for public release. distribution is unlimite