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Article
Engineering Cyber Physical Systems: Machine Learning, Data Analytics and Smart Systems Architecting Preface
Procedia Computer Science
  • Cihan H. Dagli, Missouri University of Science and Technology
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.

We are building systems that are created by a network of physical objects that contain embedded technology to communicate and interact with their internal states or the external environment. These changes in technology and deployment of system of systems having these new characteristics are demanding new ways of thinking and engineering. These are complex adaptive systems that can have emergent behavior and require systems integration and engineering in their design and operation.

Meeting Name
Complex Adaptive Systems (2015: Nov. 2-4, San Jose, CA)
Department(s)
Engineering Management and Systems Engineering
Document Type
Remarks
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2015 Elsevier, All rights reserved.
Creative Commons Licensing
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Publication Date
11-1-2015
Publication Date
01 Nov 2015
Citation Information
Cihan H. Dagli. "Engineering Cyber Physical Systems: Machine Learning, Data Analytics and Smart Systems Architecting Preface" Procedia Computer Science Vol. 61 (2015) p. 8 - 9 ISSN: 1877-0509
Available at: http://works.bepress.com/cihan-dagli/160/