Skip to main content
SpringerLink
Log in

Complex Adaptive Systems

Views from the Physical, Natural, and Social Sciences

  • Book
  • © 2019

Overview

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Andrew J. Collins

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. The Fundamentals of Complex Adaptive Systems

    • Ted Carmichael, Mirsad Hadžikadić
    Pages 1-16

  3. A Cognitive-Consistency Based Model of Population Wide Attitude Change

    • Kiran Lakkaraju, Ann Speed
    Pages 17-38

  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

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

    • Aaron Bramson
    Pages 79-128

  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

  8. Simulating the Ridesharing Economy: The Individual Agent Metro-Washington Area Ridesharing Model (IAMWARM)

    • Joseph A. E. Shaheen
    Pages 143-168

  9. Stigmergy for Biological Spatial Modeling

    • Megan Olsen
    Pages 169-197

  10. Strategic Group Formation in the El Farol Bar Problem

    • Andrew J. Collins
    Pages 199-211

  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
Back to top

Keywords

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.

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

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation