Tools and Techniques for Social Science Simulation

  • Ramzi Suleiman
  • Klaus G. Troitzsch
  • Nigel Gilbert

Table of contents

  1. Front Matter
    Pages i-viii
  2. Simulations as Tools for Modelling and Theory Building

  3. Multi-Agent Based Simulations

  4. Game Theory and Cellular Automata

    1. Front Matter
      Pages 149-149
    2. Rainer Hegselmann, Andreas Flache, Volker Möller
      Pages 151-178
    3. Oliver Kirchkamp
      Pages 179-195
    4. Ilan Fischer, Ramzi Suleiman
      Pages 218-239
  5. Sensitivity Analysis

    1. Front Matter
      Pages 241-241
    2. Edmund Chattoe, Nicole J. Saam, Michael Möhring
      Pages 243-273
    3. Mario Paolucci, Mario Marsero, Rosaria Conte
      Pages 302-314
  6. Applications

    1. Front Matter
      Pages 315-315
    2. Kai-H. Brassel, Ottmar Edenhofer, Michael Möhring, Klaus G. Troitzsch
      Pages 317-343
    3. Philip N. Kokic, Ray L. Chambers, Steve Beare
      Pages 344-350
    4. Jürgen Klüver, Jörn Schmidt, Ralph Kier
      Pages 351-372
  7. Back Matter
    Pages 373-387

About these proceedings


The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. The availability of powerful personal computers, the development of multidisciplinary approaches and the use of artificial intelligence models have all contributed to this development. The benefits of using computer simulations in the social sciences are obvious. This holds true for the use of simulations as tools for theory building and for its implementation as a tool for sensitivity analysis and parameter optimization in application-oriented models. In both, simulation provides powerful tools for the study of complex social systems, especially for dynamic and multi-agent social systems in which mathematical tractability is often impossible. The graphical display of simulation output renders it user friendly to many social scientists that lack sufficient familiarity with the language of mathematics. The present volume aims to contribute in four directions: (1) To examine theoretical and methodological issues related to the application of simulations in the social sciences. By this we wish to promote the objective of designing a unified, user-friendly, simulation toolkit which could be applied to diverse social problems. While no claim is made that this objective has been met, the theoretical issues treated in Part 1 of this volume are a contribution towards this objective.


Nation Simulation Simulation in den Sozialwissenschaften Social Science Simulation algorithms computer simulation game theory model modeling

Editors and affiliations

  • Ramzi Suleiman
    • 1
  • Klaus G. Troitzsch
    • 2
  • Nigel Gilbert
    • 3
  1. 1.Department of PsychologyUniversity of HaifaHaifaIsrael
  2. 2.Institut für Sozialwissenschaftliche InformatikUniversity of Koblenz-LandauKoblenzGermany
  3. 3.Centre for Research on Simulation in the Social SciencesUniversity of SurreyGuildfordUK

Bibliographic information