Editors:
- Presents recent research on complex adaptive systems
- Includes the main research findings of the papers presented at the AAAI CAS Fall Symposia Series, held in November in Arlington, VA, in 2009, 2010, and 2011
- Written by leading experts in complex adaptive systems and agent-based modeling
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (11 chapters)
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Front Matter
About this book
Most interesting phenomena in natural and social systems include constant transitions and oscillations among their various phases – wars, companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from a non-event?
Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a general CAS model as having a large number of self-similar agents that: 1) utilize one or more levels of feedback; 2) exhibit emergent properties and self-organization; and 3) produce non-linear dynamic behavior. Advances in modeling and computing technology have led not only to a deeper understanding of complex systems in many areas, but they have also raised the possibility that similar fundamental principles may be at work across these systems, even though the underlying principles may manifest themselves differently.
Editors and Affiliations
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Complex Systems Institute, Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA
Ted Carmichael, Mirsad Hadžikadić
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Department of Engineering Management and Systems Engineering, College of Engineering and Technology, Old Dominion University, Norfolk, USA
Andrew J. Collins
Bibliographic Information
Book Title: Complex Adaptive Systems
Book Subtitle: Views from the Physical, Natural, and Social Sciences
Editors: Ted Carmichael, Andrew J. Collins, Mirsad Hadžikadić
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-030-20309-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-20307-8Published: 27 June 2019
eBook ISBN: 978-3-030-20309-2Published: 14 June 2019
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: VIII, 250
Number of Illustrations: 21 b/w illustrations, 55 illustrations in colour
Topics: Complexity, Applications of Nonlinear Dynamics and Chaos Theory, Applications of Graph Theory and Complex Networks
Industry Sectors: Aerospace