File:A FRAMEWORK FOR ENGINEERED COMPLEX ADAPTIVE SYSTEMS OF SYSTEMS (IA aframeworkforeng1094563463).pdf
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A FRAMEWORK FOR ENGINEERED COMPLEX ADAPTIVE SYSTEMS OF SYSTEMS
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| Author |
Johnson, Bonnie W. |
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| Title |
A FRAMEWORK FOR ENGINEERED COMPLEX ADAPTIVE SYSTEMS OF SYSTEMS |
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| Publisher |
Monterey, CA; Naval Postgraduate School |
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| Description |
This dissertation presents a theory for complex adaptive systems of systems (CASoS) as a new class of systems that can be engineered as solutions to highly complex problems. The exponential growth in technology, demands from a warfighting community to rapidly address operational challenges, and dynamic, highly complex environments overwhelm traditional engineering approaches. This study followed a grounded theory methodology. Thorough examination of systems and complexity theory knowledge domains and engineering disciplines resulted in a conceptual CASoS theory. The theory establishes the definition, characteristics, and principles of this new class of systems. Implications for this new class of systems identify unique capability requirements that are the bases for developing an engineering solution: 1) CASoS adjust to their environment through complex interactions among their self-organizing constituent systems, giving rise to purposeful emergent multi-level and multi-minded behavior, and 2) CASoS require an adaptive architecture that enables intelligent constituent systems with the ability to discover knowledge and predict the outcomes and effects of their actions. The CASoS systems engineering approach is a top-down and adaptive process that relies on continuous and ongoing design and development in parallel with operations. In defining a new systems domain, this research offers a framework to develop an engineered CASoS solution to highly complex problems. Subjects: complex adaptive systems of systems; systems theory; systems engineering; grounded theory methodology; adaptive architecture; emergence; self-organization; systems of systems; intelligent agents; predictive analytics; decision paradigm |
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| Language | English | |
| Publication date | September 2019 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
aframeworkforeng1094563463 |
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| Source | ||
| Permission (Reusing this file) |
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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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 01:53, 14 July 2020 |  | 1,275 × 1,650, 330 pages (15.02 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection aframeworkforeng1094563463 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #5723) |
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