GENERATING REALISTIC MISSION PROFILES IN SUPPORT OF INTERACTIVE SYNTHETIC ENVIRONMENTS
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Authors
Sohm, Ryan M.
Subjects
interactive synthetic environment
ISE
mission
profiles
generation
modeling
simulation
Monte Carlo
autonomous
systems
wargaming
unmanned aerial system
UAS
vehicle
UAV
early synthetic prototyping
ESP
ISE
mission
profiles
generation
modeling
simulation
Monte Carlo
autonomous
systems
wargaming
unmanned aerial system
UAS
vehicle
UAV
early synthetic prototyping
ESP
Advisors
McDowell, Perry L.
Fitzpatrick, Christian R.
Balogh, Imre L.
Date of Issue
2021-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Modeling and simulations can determine how an upcoming technology will perform in the real world. An interactive synthetic environment (ISE) can accelerate technology development and improve the acquisitions process by providing immediate feedback on a specific technology or configuration. With the advent of artificial intelligence and machine learning, a model can be trained to choose the best performing configurations that fit a particular mission set. However, there is no current framework to develop these mission sets, or mission profiles, to allow the training to occur. Often, simulations are built, a specific mission or small set of missions is loaded, the simulation is run, and the results are examined. If a user could generate realistic, feasible mission profiles and run thousands of simulations with a single technology or specific configuration of a technology, the user would have more data for evaluation. This work aims to develop a framework that generates variable and feasible mission profiles. This framework provides a step towards a minimum viable product of ISE. Comparison of a large set of mission profiles between two competing technologies may provide a non-technical user a basis to decide which performs better. The result of this work will help advance modeling and simulations specific to acquisitions and wargaming, with the overall intent to expedite the acquisitions process.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
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NPS Report Number
Sponsors
Funder
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Citation
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.