Engineering Cyber Physical Systems (original) (raw)

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. They will impact manufacturing industry, defense, healthcare, energy, transportation, emergency response, agriculture and society overall. The success will come how the current challenges related to cybersecurity, interoperability, privacy, safety and socio-technical aspects mainly interaction of human behavior and complex adaptive systems are handled 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. Our quest continues to handle complexities to design and operate these systems. The challenge in Complex Adaptive Systems design is to create an organized complexity that will allow a system to achieve its goals. Researchers from academia, industry and government met in Chicago, Illinois, on October 30 to November 1, 2017, to share their findings and expand the boundaries of research in Complex Adaptive Systems. This year we are concentered on the current state of practice in Engineering Cyber Physical Systems.