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  • © 2019

Complex Adaptive Systems

Views from the Physical, Natural, and Social Sciences

Editors:

  1. Ted Carmichael

    1. Complex Systems Institute, Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA

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  2. Andrew J. Collins

    1. Department of Engineering Management and Systems Engineering, College of Engineering and Technology, Old Dominion University, Norfolk, USA

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  3. Mirsad Hadžikadić

    1. Complex Systems Institute, Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA

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  • 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)

Sections

eBook USD 139.00
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  • ISBN: 978-3-030-20309-2
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Hardcover Book USD 179.99
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Table of contents (11 chapters)

  1. Front Matter

    Pages i-viii
    PDF

  2. The Fundamentals of Complex Adaptive Systems

    • Ted Carmichael, Mirsad Hadžikadić
    Pages 1-16

  4. An Application of Agent Based Social Modeling in the DoD

    • Catherine Zanbaka, Jason HandUber, Desmond Saunders-Newton
    Pages 39-63

  5. Agent-Based Behavior Precursor Model of Insider IT Sabotage

    • Erika G. Ardiles Cruz, John A. Sokolowski, Timothy Kroecker, Sachin Shetty
    Pages 65-77

  7. Identifying Unexpected Behaviors of Agent-Based Models Through Spatial Plots and Heat Maps

    • Christopher J. Lynch, Hamdi Kavak, Ross Gore, Daniele Vernon-Bido
    Pages 129-142

  9. Stigmergy for Biological Spatial Modeling

    • Megan Olsen
    Pages 169-197

  11. swarmFSTaxis: Borrowing a Swarm Communication Mechanism from Fireflies and Slime Mold

    • Joshua Cherian Varughese, Daniel Moser, Ronald Thenius, Franz Wotawa, Thomas Schmickl
    Pages 213-222

  12. Teaching Complexity as Transdisciplinarity

    • Loren Demerath, E. Dante Suarez
    Pages 223-250
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About this book

​This book emerged out of international conferences organized as part of the AAAI Fall Symposia series, and the Swarmfest 2017 conference. It brings together researchers from diverse fields studying these complex systems using CAS and agent-based modeling tools and techniques. In the past, the knowledge gained in each domain has largely remained exclusive to that domain. By bringing together scholars who study these phenomena, the book takes knowledge from one domain to provide insight into others.

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.
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Keywords

  • Agent-based Modeling
  • Complex Adaptive Systems
  • Complexity
  • Swarm Intelligence
  • Computational Social Science
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Editors and Affiliations

  • 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

  • Department of Engineering Management and Systems Engineering, College of Engineering and Technology, Old Dominion University, Norfolk, USA

    Andrew J. Collins

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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: Applied Dynamical Systems, Nonlinear Optics, Graph Theory

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Access via your institution
eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-20309-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 179.99
Price excludes VAT (USA)
Learn about institutional subscriptions