Doctoral Dissertations

Abstract

"This research study focuses on developing a framework that can be utilized by system architects to understand the emergent behavior of system architectures. The objective is to design a framework that is modular and flexible in providing different ways of modeling sub-systems of System of Systems. At the same time, the framework should capture the adaptive behavior of the system since evolution is one of the key characteristics of System of Systems. Another objective is to design the framework so that humans can be incorporated into the analysis. The framework should help system architects understand the behavior as well as promoters or inhibitors of change in human systems. Computational intelligence tools have been successfully used in analysis of Complex Adaptive Systems. Since a System of Systems is a collection of Complex Adaptive Systems, a framework utilizing combination of these tools can be developed. Financial markets are selected to demonstrate the various architectures developed from the analysis framework"--Introduction, page 3.

Advisor(s)

Enke, David Lee, 1965-
Dagli, Cihan H., 1949-

Committee Member(s)

Tauritz, Daniel R.
Ramakrishnan, Sreeram
Grasman, Scott E. (Scott Erwin)

Department(s)

Engineering Management and Systems Engineering

Degree Name

Ph. D. in Systems Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2007

Pagination

xii, 138 pages

Note about bibliography

Includes bibliographical references (pages 124-137).

Rights

© 2007 Nil Hande Ergin, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Artificial intelligence
Finance -- Mathematical models
Machine learning
System analysis

Thesis Number

T 9214

Print OCLC #

233175346

Electronic OCLC #

182545125

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