Abstract
Multi-faceted systems of the future will entail complex logic 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.
Complex Adaptive Systems have dynamically changing meta-architectures. Finding an optimal architecture for these systems is a multi-criteria decision making problem often involving many objectives in the order of 20 or more. This creates "Pareto Breakdown" which prevents ordinary multi-objective optimization approaches from effectively searching for an optimal solution; saturating the decision maker with large sets of solutions that may not be representative for a compromise architecture selection from the solution space.
Recommended Citation
C. H. Dagli, "Engineering Cyber Physical Systems: Preface," Procedia Computer Science, vol. 114, pp. 1 - 2, Elsevier, Oct 2017.
The definitive version is available at https://doi.org/10.1016/j.procs.2017.09.055
Meeting Name
Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS (2017: Oct. 30-Nov. 1, Chicago, IL)
Department(s)
Engineering Management and Systems Engineering
International Standard Serial Number (ISSN)
1877-0509
Document Type
Remarks
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2017 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
01 Oct 2017
