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  • Book
  • Open Access
  • © 2018

Methodological Investigations in Agent-Based Modelling

With Applications for the Social Sciences


  • This open access book provides an innovative and comprehensive philosophical analysis of simulation methodology in the social sciences

  • In-depth examination of the use of agent-based models across disciplines

  • Includes cutting-edge work on agent-based models applied to population studies?

Part of the book series: Methodos Series (METH, volume 13)

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Agent-Based Models

    1. Front Matter

      Pages 1-1
    2. Introduction

      • Eric Silverman
      Pages 3-15Open Access
    3. Simulation and Artificial Life

      • Eric Silverman
      Pages 17-38Open Access
    4. Making the Artificial Real

      • Eric Silverman
      Pages 39-59Open Access
    5. Modelling in Population Biology

      • Eric Silverman
      Pages 61-81Open Access
  3. Modelling Social Systems

    1. Front Matter

      Pages 83-83
    2. Modelling for the Social Sciences

      • Eric Silverman, John Bryden
      Pages 85-106Open Access
    3. Analysis: Frameworks and Theories for Social Simulation

      • Eric Silverman
      Pages 107-123Open Access
    4. Schelling’s Model: A Success for Simplicity

      • Eric Silverman
      Pages 125-144Open Access
    5. Conclusions

      • Eric Silverman
      Pages 145-163Open Access
  4. Case Study: Simulation in Demography

    1. Front Matter

      Pages 165-165
    2. Modelling in Demography: From Statistics to Simulations

      • Jakub Bijak, Daniel Courgeau, Robert Franck, Eric Silverman
      Pages 167-187Open Access
    3. Model-Based Demography in Practice: I

      • Eric Silverman, Jakub Bijak, Jason Hilton
      Pages 189-210Open Access
    4. Model-Based Demography in Practice: II

      • Eric Silverman, Jason Noble, Jason Hilton, Jakub Bijak
      Pages 211-223Open Access
    5. Conclusions

      • Eric Silverman
      Pages 225-235Open Access

About this book

This open access book examines the methodological complications of using complexity science concepts within the social science domain.  The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences.  Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography.  This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.​


  • Agent-Based Modelling ABM
  • Artificial Intelligence (AI) and A-life
  • Complex systems science
  • Computational social science
  • Social simulation
  • Agent-Based demography
  • Population sciences
  • Population Health
  • Modelling health and social care
  • Model-Based science
  • Model-Based demography
  • Open Access

Authors and Affiliations

  • MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom

    Eric Silverman

Bibliographic Information

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)