A FRAMEWORK FOR ENGINEERED COMPLEX ADAPTIVE SYSTEMS OF SYSTEMS

Abstract

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.