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Tools and Techniques for Social Science Simulation

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Ramzi Suleiman

    1. Department of Psychology, University of Haifa, Haifa, Israel

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  2. Klaus G. Troitzsch

    1. Institut für Sozialwissenschaftliche Informatik, University of Koblenz-Landau, Koblenz, Germany

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  3. Nigel Gilbert

    1. Centre for Research on Simulation in the Social Sciences, University of Surrey, Guildford, UK

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Table of contents (18 papers)

  1. Front Matter

    Pages i-viii
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  3. Multi-Agent Based Simulations

    1. Front Matter

      Pages 63-63
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    2. SMASS: A Sequential Multi-Agent System for Social Simulation

      • Wolfgang Balzer
      Pages 65-82

    3. PECS: A Reference Model for the Simulation of Multi-Agent Systems

      • Christoph Urban
      Pages 83-114

    4. Bedrock: Building Multi-Agent Simulation Applications

      • Matthew J. Rockloff
      Pages 115-130

    5. Diversity in Strategies of Partnership Formation

      • Rosaria Conte
      Pages 131-148

  4. Game Theory and Cellular Automata

    1. Front Matter

      Pages 149-149
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    2. Cellular Automata as a Modelling Tool: Solidarity and Opinion Formation

      • Rainer Hegselmann, Andreas Flache, Volker Möller
      Pages 151-178

    3. Evolution of Learning Rules in Space

      • Oliver Kirchkamp
      Pages 179-195

    4. Maintaining Diversity: Simulating the Role of Nonlinearity and Discreteness in Dynamic Social Impact

      • Bibb Latané, Hiroaki Morio
      Pages 196-217

    5. Representation Methods and the Emergence of Inter-Group Cooperation

      • Ilan Fischer, Ramzi Suleiman
      Pages 218-239

  5. Sensitivity Analysis

    1. Front Matter

      Pages 241-241
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    2. Sensitivity Analysis in the Social Sciences: Problems and Prospects

      • Edmund Chattoe, Nicole J. Saam, Michael Möhring
      Pages 243-273

    3. Tests of Dynamic Social Models with Time Related Surveys: an Experimental Approach

      • Christof Schatz
      Pages 274-301

    4. What Is the Use of Gossip? A Sensitivity Analysis of the Spreading of Respectful Reputation

      • Mario Paolucci, Mario Marsero, Rosaria Conte
      Pages 302-314
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Psychology, University of Haifa, Haifa, Israel

    Ramzi Suleiman

  • Institut für Sozialwissenschaftliche Informatik, University of Koblenz-Landau, Koblenz, Germany

    Klaus G. Troitzsch

  • Centre for Research on Simulation in the Social Sciences, University of Surrey, Guildford, UK

    Nigel Gilbert

Bibliographic Information

  • Book Title: Tools and Techniques for Social Science Simulation

  • Editors: Ramzi Suleiman, Klaus G. Troitzsch, Nigel Gilbert

  • DOI: https://doi.org/10.1007/978-3-642-51744-0

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2000

  • Softcover ISBN: 978-3-7908-1265-7Published: 11 February 2000

  • eBook ISBN: 978-3-642-51744-0Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: VIII, 387

  • Topics: Sociology, general, Econometrics, Simulation and Modeling

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