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Understanding Complex Systems

Complex Adaptive Systems

Views from the Physical, Natural, and Social Sciences

Editors: Carmichael, Ted, Collins, Andrew, Hadzikadic, Mirsad (Eds.)

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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

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eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-20309-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-20307-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • The Fundamentals of Complex Adaptive Systems

    Pages 1-16

    Carmichael, Ted (et al.)

  • A Cognitive-Consistency Based Model of Population Wide Attitude Change

    Pages 17-38

    Lakkaraju, Kiran (et al.)

  • An Application of Agent Based Social Modeling in the DoD

    Pages 39-63

    Zanbaka, Catherine (et al.)

  • Agent-Based Behavior Precursor Model of Insider IT Sabotage

    Pages 65-77

    Ardiles Cruz, Erika G. (et al.)

  • Formal Measures of Dynamical Properties: Tipping Points, Robustness, and Sustainability

    Pages 79-128

    Bramson, Aaron

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-20309-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-20307-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Complex Adaptive Systems
Book Subtitle
Views from the Physical, Natural, and Social Sciences
Editors
  • Ted Carmichael
  • Andrew Collins
  • Mirsad Hadzikadic
Series Title
Understanding Complex Systems
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-20309-2
DOI
10.1007/978-3-030-20309-2
Hardcover ISBN
978-3-030-20307-8
Series ISSN
1860-0832
Edition Number
1
Number of Pages
VIII, 250
Number of Illustrations
21 b/w illustrations, 55 illustrations in colour
Topics