Social Science Microsimulation

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

3. Social Science Multilevel Simulation

   1. Front Matter

      Pages 105-105

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   2. Multilevel Simulation

      • Klaus G. Troitzsch

      Pages 107-122

   3. Social Science Multilevel Simulation with MIMOSE

      • Michael Möhring

      Pages 123-137

   4. Multilevel Modelling with MIMOSE: Experience from a Social Science Application

      • Nicole J. Saam

      Pages 138-154

   5. A Microsimulation Tool for Social Force Models

      • Péter Molnár

      Pages 155-170

   6. Evolution in Humans of Macro-level Social Stratification and Language

      • Allan Mazur

      Pages 171-178

   7. Survival Analysis, Master Equation, Efficient Simulation of Path-Related Quantities, and Hidden State Concept of Transitions

      • Dirk Helbing

      Pages 179-207

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

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.

• Evaluation
• Mikrosimulation
• Social Science Microsimulation
• agents
• game theory
• simulation

• 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

Policies and ethics