Social Science Microsimulation / Edition 1

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Overview

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.

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Product Details

  • ISBN-13: 9783540615729
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 11/25/1996
  • Edition description: 1996
  • Edition number: 1
  • Pages: 471
  • Product dimensions: 9.21 (w) x 6.14 (h) x 1.13 (d)

Table of Contents

Preface
1 A Comparison of a 4GL and an Object-oriented Approach in Micro Macro Simulation 3
2 MICSIM: Concept, Developments, and Applications of a PC Microsimulation Model for Research and Teaching 33
3 Exploring and Testing Theories: On the Role of Parameter Optimization in Social Science Computer Simulation 66
4 Why Are We Simulating Anyway? Some Answers from Economics 78
5 Multilevel Simulation 107
6 Social Science Multilevel Simulation with MIMOSE 123
7 Multilevel Modelling with MIMOSE: Experience from a Social Science Application 138
8 A Microsimulation Tool for Social Force Models 155
9 Evolution in Humans of Macro-level Social Stratification and Language 171
10 Survival Analysis, Master Equation, Efficient Simulation of Path-Related Quantities, and Hidden State Concept of Transitions 179
11 Game Theory, Decision Making in Conflicts and Computer Simulations: a Good-Looking Triad 211
12 From Life Event Analysis to Life Course Analysis 237
13 Simulating Cooperation and Competition: Present State and Future Objectives 264
14 Understanding Social Dynamics: The Cellular Automata Approach 282
15 Spatial Evolution of Automata in the Prisoner's Dilemma 307
16 Simulating the Social Context of Human Choice 359
17 Simulating Societies using Distributed Artificial Intelligence 381
18 Simulating Multi-Agent Interdependencies. A Two-Way Approach to the Micro-Macro Link 394
19 Artificial Intelligence Modelling: Data Driven and Theory Driven Approaches 416
20 Object-Oriented and Agent-Oriented Simulation: Implications for Social Science Application 432
21 Simulation as a Research Strategy 448
App. A Environments and Languages to Support Social Simulation (Summary of an Informal Discussion) 457
App. B Computer Simulation and Social Sciences: On the Future of a Difficult Relation (Summary of an Informal Discussion) 459
Author Index 461
Subject Index 469
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