Simulation for the Social Scientist / Edition 2

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An invaluable guide to the

complex and increasingly

vital study of social


This is a revised, completely updated edition

of the practical textbook that examines the

techniques of building computer simulations

to assist understanding of social and economic

issues and problems. Interest in social

simulation has been growing rapidly worldwide

as a result of increasingly powerful

hardware capabilities and software programs.

The focus on this area of expertise

is also influenced by a rising interest in the

application of ideas of complexity, evolution,

adaptation, and chaos in the social


This authoritative book details all of the

common approaches to social simulation, to

provide social scientists with an appreciation

of the literature and allow those with some

programming skills to create their own

simulations. New for this edition are a

chapter on how to use simulation as a tool,

as well as a chapter on multi-agent systems

to explain why and how multi-agent modeling

has become the preferred approach to


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Editorial Reviews

Gilbert (sociology, U. of Surrey) and Troitzsch (social science informatics, U. of Koblenz-Landau, Germany) offer a practical textbook on techniques for building simulations to assist the understanding of social and economics issues. They explain what computer simulation can contribute to the social sciences, which of the many approaches to simulation would be best for a particular research project, and how to design and carry out a simulation and analyze the results. Computer scientists might also benefit from reading what functions social scientists need and what problems they have with existing packages. US distribution by Taylor and Francis. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780335216000
  • Publisher: McGraw-Hill Professional Publishing
  • Publication date: 2/1/2005
  • Edition description: REV
  • Edition number: 2
  • Pages: 312
  • Product dimensions: 6.00 (w) x 8.90 (h) x 0.60 (d)

Meet the Author

Nigel Gilbert (United Kingdom) is a member of

the Sociology Department at the University of


Dr. Klaus G. Troitzsch (Germany) is based at the

Universitat Koblenz-Landau.

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Table of Contents

1 Simulation and social science 1
2 Simulation as a method 15
3 System dynamics and world models 28
4 Microanalytical simulation models 57
5 Queuing models 79
6 Multilevel simulation models 100
7 Cellular automata 130
8 Multi-agent models 172
9 Developing multi-agent systems 199
10 Learning and evolutionary models 217
App Linear stability analysis of the dove-hawk-law-abider model 267
App Random number generators 272
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