Research Summaries

Back Battle Management Aids: Leveraging Artificial Intelligence for Tactical Decisions

Fiscal Year 2021
Division Research & Sponsored Programs
Department NPS Naval Research Program
Investigator(s) Johnson, Bonnie W.
Sponsor Office of the Chief of Naval Operations (Navy)
Summary This study will explore the needs and requirements for battle management aids that leverage artificial intelligence methods to enhance tactical decisions. The Navy has recognized the need for tactical decision aids to support battle management as warfighters become overwhelmed with 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. Tactical decision aids must provide a common operational picture to distributed commands that meets the diverse mission needs as well as bridges the gap between planning and tactical domains. The decision aids must support coordinated C4ISR, active and passive operations, offensive and defensive tactics, and information warfare. The study will develop a conceptual design of a decision aid and architecture based on artificial intelligence, machine learning, predictive analytics, and game theory that produces a common operational picture and recommended tactical courses of action based on predicted performance, outcomes, and effects. The primary objectives of this study will be to understand the diverse needs and requirements for battle management aids and to develop a conceptual design of a decision aid system and architecture based on artificial intelligence, machine learning, game theory, and predictive analytics.
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