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Social Science Microsimulation

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. Klaus G. Troitzsch

    1. Institut für Sozialwissenschaftliche Informatik, Universität Koblenz-Landau, Koblenz, Germany

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  2. Ulrich Mueller

    1. Medizinische Soziologie, Philipps-Universität Marburg, Marburg, Germany

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  3. G. Nigel Gilbert

    1. Social and Computer Sciences Research Group, University of Surrey, Guildford, England

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  4. Jim E. Doran

    1. Department of Computer Science, University of Essex, Colchester, England

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Table of contents (21 papers)

  1. Front Matter

    Pages I-XII
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  2. Social Science Microsimulation / Microanalytic Simulation Models

    1. Front Matter

      Pages 1-1
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    2. A Comparison of a 4GL and an Object-oriented Approach in Micro Macro Simulation

      • Hans-Dieter Heike, Kai Beckmann, Achim Kaufmann, Harald Ritz, Thomas Sauerbier
      Pages 3-32

    3. MICSIM: Concept, Developments, and Applications of a PC Microsimulation Model for Research and Teaching

      • Joachim Merz
      Pages 33-65

    4. Exploring and Testing Theories: On the Role of Parameter Optimization in Social Science Computer Simulation

      • Georg Müller
      Pages 66-77

    5. Why Are We Simulating Anyway? Some Answers from Economics

      • Edmund Chattoe
      Pages 78-104

  4. Game Theory and Cellular Automata

    1. Front Matter

      Pages 209-209
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    2. Game Theory, Decision Making in Conflicts and Computer Simulations: a Good-Looking Triad

      • Wim B. G. Liebrand, David M. Messick
      Pages 211-236

    3. From Life Event Analysis to Life Course Analysis

      • Ulrich Mueller
      Pages 237-263

    4. Simulating Cooperation and Competition: Present State and Future Objectives

      • Ramzi Suleiman
      Pages 264-281

    5. Understanding Social Dynamics: The Cellular Automata Approach

      • Rainer Hegselmann
      Pages 282-306

    6. Spatial Evolution of Automata in the Prisoner’s Dilemma

      • Oliver Kirchkamp
      Pages 307-358

    7. Simulating the Social Context of Human Choice

      • Matthew J. Rockloff, Bibb Latané
      Pages 359-377
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Keywords

About this book

This book gives an overview of the state of the art in five different approaches to social science simulation on the individual level. The volume contains microanalytical simulation models designed for policy implementation and evaluation, multilevel simulation methods designed for detecting emergent phenomena, dynamical game theory applications, the use of cellular automata to explain the emergence of structure in social systems, and multi-agent models using the experience from distributed artificial intelligence applied to special phenomena. The book collects the results of an international conference which brought together social scientists and computer scientists both engaged in a wide range of simulation approaches for the first time.

Editors and Affiliations

  • Institut für Sozialwissenschaftliche Informatik, Universität Koblenz-Landau, Koblenz, Germany

    Klaus G. Troitzsch

  • Medizinische Soziologie, Philipps-Universität Marburg, Marburg, Germany

    Ulrich Mueller

  • Social and Computer Sciences Research Group, University of Surrey, Guildford, England

    G. Nigel Gilbert

  • Department of Computer Science, University of Essex, Colchester, England

    Jim E. Doran

Bibliographic Information

  • Book Title: Social Science Microsimulation

  • Editors: Klaus G. Troitzsch, Ulrich Mueller, G. Nigel Gilbert, Jim E. Doran

  • DOI: https://doi.org/10.1007/978-3-662-03261-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1996

  • Hardcover ISBN: 978-3-540-61572-9Published: 17 September 1996

  • Softcover ISBN: 978-3-642-08267-2Published: 01 December 2010

  • eBook ISBN: 978-3-662-03261-9Published: 12 June 2019

  • Edition Number: 1

  • Number of Pages: XII, 471

  • Number of Illustrations: 135 b/w illustrations

  • Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Simulation and Modeling

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