Understanding Complex Systems

Simulating Social Complexity

A Handbook

Editors: Edmonds, Bruce, Meyer, Ruth (Eds.)

  • Edited and authored by leading researchers in the field
  • Useful as reference text in the field
  • Suitable for graduate-level self-study and as additional reading for courses on computational social science
  • Useful as reference text in the field
  • Suitable for graduate-level self-study and as additional reading for courses on computational social science
  • Suitable for graduate-level self-study and as additional reading for courses on computational social science
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Buy this book

eBook 142,79 €
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  • ISBN 978-3-540-93813-2
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Hardcover 176,75 €
price for Spain (gross)
  • ISBN 978-3-540-93812-5
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  • Usually dispatched within 3 to 5 business days.
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Softcover 176,75 €
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  • ISBN 978-3-642-43636-9
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  • Usually dispatched within 3 to 5 business days.
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About this book

Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems.

 Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society.

 The phenomena of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usually not easily simplifiable by, for example, considering only representative actors.

 The introduction of accessible agent-based modelling allows the representation of social complexity in a more natural and direct manner than previous techniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analytic tractability. This makes agent-based modelling relatively accessible to a range of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders.

 This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged.

 This book will help those entering into the field to avoid "reinventing the wheel" each time, but it will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introductory, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section of ‘Further Reading’ briefly describing three to eight items that a newcomer might read next.

 

Reviews

From the reviews:

“The handbook ‘Simulating Social Complexity’ identifies, compares, and debates existing approaches to simulation. … it consists of many very good chapters and can, thus, be recommended to anybody who wants to learn more about good practice in simulation modeling.” (Michael Mäs, Journal of Artificial Societies and Social Simulation, Vol. 17 (1), 2014)

Table of contents (26 chapters)

  • Introduction to the Handbook

    Edmonds, Bruce (et al.)

    Pages 3-11

    Preview Buy Chapter 30,19 €
  • Historical Introduction

    Troitzsch, Klaus G.

    Pages 13-21

    Preview Buy Chapter 30,19 €
  • Types of Simulation

    Davidsson, Paul (et al.)

    Pages 23-36

    Preview Buy Chapter 30,19 €
  • Informal Approaches to Developing Simulation Models

    Norling, Emma (et al.)

    Pages 39-55

    Preview Buy Chapter 30,19 €
  • A Formal Approach to Building Compositional Agent-Based Simulations

    Jonker, Catholijn M. (et al.)

    Pages 57-94

    Preview Buy Chapter 30,19 €

Buy this book

eBook 142,79 €
price for Spain (gross)
  • ISBN 978-3-540-93813-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 176,75 €
price for Spain (gross)
  • ISBN 978-3-540-93812-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 176,75 €
price for Spain (gross)
  • ISBN 978-3-642-43636-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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
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Bibliographic Information

Bibliographic Information
Book Title
Simulating Social Complexity
Book Subtitle
A Handbook
Editors
  • Bruce Edmonds
  • Ruth Meyer
Series Title
Understanding Complex Systems
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-93813-2
DOI
10.1007/978-3-540-93813-2
Hardcover ISBN
978-3-540-93812-5
Softcover ISBN
978-3-642-43636-9
Series ISSN
1860-0832
Edition Number
1
Number of Pages
VII, 754
Topics