Tools and Techniques for Social Science Simulation

Suleiman, Ramzi (Editor)/ Troitzsch, Klaus G. (Editor)/ Gilbert, G. Nigel (Editor)

ISBN 10: 379081265X / ISBN 13: 9783790812657

Published by Physica Verlag, 2000

About this Item

387 pages. 9.50x6.50x1.00 inches. In Stock.

Seller Inventory # x-379081265X

Bibliographic Details

• Title: Tools and Techniques for Social Science Simulation
• Publisher: Physica Verlag
• Publication Date: 2000
• Language: English
• ISBN 10: 379081265X
• ISBN 13: 9783790812657
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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.

Synopsis

This book provides an overview of soical science simulation as a tool for modelling and theory building. It is shown how simulation may be applied to the analysis of social and economic problems using techniques such as multi-agent simulation, cellular automata and multi-level modelling. Particular attention is paid to the sensitivity analysis of model parameters. The book also describes the architecture and user interfaces of several simulation tools. The book is based on an international conference that brought together social scientists and computer scientists engaged in a wide range of simulation approaches. It represents a report on the state of the art in social science simulation.