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Simulating Social Complexity

A Handbook

  • Bruce Edmonds
  • Ruth Meyer

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Bruce Edmonds, Ruth Meyer
      Pages 3-12
    3. Klaus G. Troitzsch
      Pages 13-22
    4. Paul Davidsson, Harko Verhagen
      Pages 23-37
    5. Bruce Edmonds
      Pages 39-58
  3. Methodology

    1. Front Matter
      Pages 59-59
    2. Emma Norling, Bruce Edmonds, Ruth Meyer
      Pages 61-79
    3. Peer-Olaf Siebers, Franziska Klügl
      Pages 81-117
    4. José M. Galán, Luis R. Izquierdo, Segismundo S. Izquierdo, José I. Santos, Ricardo del Olmo, Adolfo López-Paredes
      Pages 119-140
    5. Nuno David, Nuno Fachada, Agostinho C. Rosa
      Pages 173-204
    6. Andrew Evans, Alison Heppenstall, Mark Birkin
      Pages 205-227
    7. Raffaello Seri, Davide Secchi
      Pages 229-251
    8. Olivier Barreteau, Pieter Bots, Katherine Daniell, Michel Etienne, Pascal Perez, Cécile Barnaud et al.
      Pages 253-292
    9. Luis R. Izquierdo, Segismundo S. Izquierdo, José M. Galán, José I. Santos
      Pages 293-330
    10. Volker Grimm, Gary Polhill, Julia Touza
      Pages 349-365
  4. Mechanisms

    1. Front Matter
      Pages 367-367
    2. Guido Fioretti
      Pages 369-409
    3. Martin Neumann
      Pages 411-442
    4. Francesca Giardini, Rosaria Conte, Mario Paolucci
      Pages 443-470
    5. Frédéric Amblard, Walter Quattrociocchi
      Pages 471-500
    6. Michael W. Macy, Steve Benard, Andreas Flache
      Pages 501-523
    7. Edmund Chattoe-Brown, Bruce Edmonds
      Pages 525-566
  5. Applications

    1. Front Matter
      Pages 567-567
    2. Christophe Le Page, Didier Bazile, Nicolas Becu, Pierre Bommel, François Bousquet, Michel Etienne et al.
      Pages 569-613
    3. David Hales
      Pages 615-632
    4. Charlotte Hemelrijk
      Pages 633-670
    5. Linda Ramstedt, Johanna Törnquist Krasemann, Paul Davidsson
      Pages 705-720
    6. Bruce Edmonds, Pablo Lucas, Juliette Rouchier, Richard Taylor
      Pages 763-800
  6. Nuno David, Nuno Fachada, Agostinho C. Rosa
    Pages E1-E1
  7. Back Matter
    Pages 823-838

About this book

Introduction

This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society.

Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual an

d agent-based computational approaches hold out the possibility of new and deeper understanding of such systems.

This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged.

This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, 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 on ‘Further Reading’.

Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.

Keywords

agent-based modelling communication networks social complexity social simulation building and developing simulations checking and validating simulations simulating movement of goods

Editors and affiliations

  • Bruce Edmonds
    • 1
  • Ruth Meyer
    • 2
  1. 1.Centre for Policy ModellingManchester Metropolitan University, Business SchoolManchesterUnited Kingdom
  2. 2.Centre for Policy ModellingManchester Metropolitan University, Business SchoolManchesterUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-66948-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-66947-2
  • Online ISBN 978-3-319-66948-9
  • Series Print ISSN 1860-0832
  • Series Online ISSN 1860-0840
  • Buy this book on publisher's site