LEVERAGING ARTIFICIAL INTELLIGENCE (AI) FOR AIR AND MISSILE DEFENSE (AMD): AN OUTCOME-ORIENTED DECISION AID
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Authors
Jones, Julian I., II
Kress, Russell
Newmeyer, William J., Jr.
Rahman, Adam I.
Subjects
artificial intelligence
AI
decision aids
air and missile defense
AMD
model-based systems engineering
MBSE
AI
decision aids
air and missile defense
AMD
model-based systems engineering
MBSE
Advisors
Johnson, Bonnie W.
Date of Issue
2020-09
Date
Sep-20
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
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.
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Distribution Statement
Approved for public release. distribution is unlimited
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States