Game Theory and Prescriptive Analytics for Naval Wargaming Battle Management Aids
Abstract
To achieve and maintain decision and mission superiority, the Navy has prioritized research in computational technologies and data analytic methods for automating and improving battle management and decision-making. This project studied novel automated techniques using a multidisciplinary systems analysis approach and developed conceptual designs for automated wargaming systems to support tactical decisions and operational planning. The research approach revealed three different applications for automated wargaming: (1) to support table-top wargames as an automated white cell for adjudication or as a red team cognitive agent, (2) to support operational mission planners as a non-real-time course of action (COA) engine, and (3) to support the tactical warfighter as a realtime COA engine that considers second, third, and nth order effects as it evaluates and recommends possible tactical COAs. The study found that automated wargaming battle management systems (leveraging game theory, prescriptive analytics, predictive analytics, artificial intelligence, etc.) are needed to support enhanced situational awareness, reasoning and problem-solving, faster decision timelines, and the identification and evaluation of tactical and operational COAs. The study recommends further research into the use of automated wargaming systems, the emerging field of course of action engineering, and the applications of these novel techniques to support table-top wargaming, operational planning, and tactical decision-making.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2022
- Accession Number
- AD1184544
Entities
People
- Andrew Graham
- Arkady Godin
- Bonnie Johnson
- Bruce Nagy
- Bryan Lee
- John M. Green
- Jor-el Sanchez
- Michael Nixt
- Rachel Badalyan
- Scot Miller
Organizations
- Naval Postgraduate School