Abstract
Multi-faceted systems of the future will entail complex logic and reasoning with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized. Our quest continues to handle complexities, design and operate these systems. The challenge in Complex Adaptive Systems design is to design an organized complexity that will allow a system to achieve its goals. This report attempts to push the boundaries of research in complexity, by identifying challenges and opportunities. Complex adaptive system-of-systems (CASoS) approach is developed to handle this huge uncertainty in socio-technical systems.
Recommended Citation
C. H. Dagli and D. L. Enke and N. Ergin and D. Konur and R. Qin and A. Gosavi and R. Wang and L. Pape and S. Agarwal and R. D. Gottapu, "Flexible and Intelligent Learning Architectures for SOS (FILA-SoS)," Systems Engineering Research Center (SERC) Technical Reports, Systems Engineering Research Center (SERC), Feb 2015.
Department(s)
Engineering Management and Systems Engineering
Report Number
SERC-2015-TR-021-4
Document Type
Technical Report
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2014 Stevens Institute of Technology, Systems Engineering Research Center, All rights reserved.
Publication Date
28 Feb 2015
Comments
This material is based upon work supported, in whole or in part, by the U.S. Department of Defense through the Systems Engineering Research Center (SERC) under Contract H98230-08-D-0171 (Task Order 033, RT 48). SERC is a federally funded University Affiliated Research Center managed by Stevens Institute of Technology