Springer celebrates 175 years of publishing excellence! Join us >>

Understanding Complex Systems

Social Self-Organization

Agent-Based Simulations and Experiments to Study Emergent Social Behavior

Editors: Helbing, Dirk (Ed.)

  • Comprehensive research overview by the leading scientist
  • Agent-based modelling for a braod range of applications
  • From mobility in opinion space to mobility in geographical space
  • New approaches to manage complexity in socio-economic systems
see more benefits

Buy this book

eBook $129.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-24004-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-24003-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-3-642-43680-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

What are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level'' outcomes and dynamics that is implied by individual, ``micro-level'' interactions. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling.  We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up to conflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems. Selected parts of this book had been previously published in peer reviewed journals.

About the authors

Dirk Helbing,
ETH Zürich

Chair of Sociology Dept., Theoretical physicist, Worldwide leading scientist in computational social sciences and econophysics/complexity research.

Reviews

From the reviews:

“This volume is a collection of models whose aim is not only to better explain a variety of phenomena in the social, cultural and economic realms using agent-based models, but also to manage these complex phenomena. … I recommend this as an important addition to the growing work on both the theoretical and practical world of agent-based simulation modelling in the social sciences.” (John Bragin, Journal of Artificial Societies and Social Simulation, April, 2013)


Table of contents (16 chapters)

Buy this book

eBook $129.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-24004-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-24003-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-3-642-43680-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Social Self-Organization
Book Subtitle
Agent-Based Simulations and Experiments to Study Emergent Social Behavior
Editors
  • Dirk Helbing
Series Title
Understanding Complex Systems
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-24004-1
DOI
10.1007/978-3-642-24004-1
Hardcover ISBN
978-3-642-24003-4
Softcover ISBN
978-3-642-43680-2
Series ISSN
1860-0832
Edition Number
1
Number of Pages
XI, 341
Topics