Publication:
Identifying and quantifying emergent behavior through system of systems modeling and simulation

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Authors
Cummings, Mary Ann
Subjects
system of systems
modeling and simulation
simulators
experimental frames
emergent behavior
metrics collector
SoS metrics
Advisors
Shing, Man-Tak
Date of Issue
2015-09
Date
Sep-15
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The U.S. Department of Defense builds many weapons systems as Systems of Systems (SoSs). Operational testing is used to test capabilities in these SoSs, but testing all configurations of the SoSs may not be possible due to cost and the environment. Modeling and simulation (M&S) is an alternative to operationally testing all functionality and interfaces in these SoSs. An inherent deficiency of existing M&S approaches, however, lies in the emergent behavior that occurs as a result of interactions among the component systems. Applying M&S to individual components cannot detect this emergent behavior, but not detecting emergent behavior of an SoS as a whole diminishes its testing process. This dissertation develops a software architecture for an M&S framework, based on Ziegler’s theory, that makes the identification and quantification of emergent behavior possible in an SoS M&S by providing a collector of SoS metrics. This software architecture has a great advantage over the current approaches because it supports swappable and configurable components to make simulation possible over different models and parameters without costly reprogramming. This dissertation also develops an improved process for the analyst to identify and quantify emergent behavior in an SoS M&S.
Type
Thesis
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Department
Computer Science
Computer Science
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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.
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