Overview
- Explains, illustrates and evaluates the theory and application of Dynamic Lines of Collaboration (DLOC) in detail
- Describes applications and experiments with DLOC in several types of cyber physical systems
- Discusses other potential applications including: collaborative visual analytics, heterogeneous robotic material handling, and quality assurance planning in manufacturing
Part of the book series: Automation, Collaboration, & E-Services (ACES, volume 6)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book focuses on the systematic modeling of complex situations characterized by escalating disruptions, and on cycles of dynamic collaboration for the best handling of disruptions. What can we do about disruptive events and their cascading effects? Thanks to the evolution of intelligent technologies for interaction, communication, sharing, and collaboration, cyberspace is a rapidly expanding world. Our systems of machines, software services, and human organizations have become increasingly interdependent, in other words – networked. As a result, disruptions that initially affect only a small part of any network tend to escalate. At the same time, cyber solutions can support first responders and emergency handlers, enhancing their responsiveness and ability to collaborate with one another in controlling disruptions and preventing their escalation.
Authors and Affiliations
Bibliographic Information
Book Title: Dynamic Lines of Collaboration
Book Subtitle: Disruption Handling & Control
Authors: Hao Zhong, Shimon Y. Nof
Series Title: Automation, Collaboration, & E-Services
DOI: https://doi.org/10.1007/978-3-030-34463-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-34462-7Published: 11 January 2020
Softcover ISBN: 978-3-030-34465-8Published: 11 January 2021
eBook ISBN: 978-3-030-34463-4Published: 03 December 2019
Series ISSN: 2193-472X
Series E-ISSN: 2193-4738
Edition Number: 1
Number of Pages: XVII, 115
Number of Illustrations: 1 b/w illustrations, 23 illustrations in colour
Topics: Computational Intelligence, Control and Systems Theory, Artificial Intelligence