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Simulation for the Social Scientist / Edition 2
     

Simulation for the Social Scientist / Edition 2

by Nigel Gilbert
 

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ISBN-10: 0335216005

ISBN-13: 9780335216000

Pub. Date: 02/01/2005

Publisher: McGraw-Hill Professional Publishing

An invaluable guide to the

complex and increasingly

vital study of social

simulation

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

Overview

An invaluable guide to the

complex and increasingly

vital study of social

simulation

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

sciences.

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

simulation.

Product Details

ISBN-13:
9780335216000
Publisher:
McGraw-Hill Professional Publishing
Publication date:
02/01/2005
Edition description:
REV
Pages:
312
Product dimensions:
6.00(w) x 8.90(h) x 0.60(d)

Table of Contents

Prefaceix
1Simulation and social science1
What is simulation?2
The history of social science simulation6
Simulating human societies9
Conclusion12
2Simulation as a method14
The logic of simulation15
The stages of simulation-based research17
Conclusion25
3System dynamics and world models27
Software30
An example: Hawks, doves and law-abiders31
Commentary42
World models43
Problems and an outlook48
Further reading51
4Microanalytical simulation models53
Methodologies56
Software61
Examples62
Commentary71
Further reading72
5Queuing models74
Characteristics of queuing models75
Software81
Examples81
Commentary90
Further reading90
6Multilevel simulation models92
Some synergetics94
Software: MIMOSE99
Examples105
Commentary118
Further reading119
7Cellular automata121
The Game of Life123
Other cellular automata models125
Extensions to the basic model136
Software141
Further reading157
8Multi-agent models158
Agents and agency159
Agent architecture164
Examples of multi-agent modelling168
Building multi-agent simulations174
Further reading193
9Learning and evolutionary models195
Artificial neural networks197
Using artificial neural networks for social simulation200
Designing neural networks205
Implementation207
Genetic algorithms218
Further reading236
Appendix AWeb sites238
General238
Programs, packages and languages239
Electronic journals241
System dynamics241
Microsimulation242
Queuing models244
Cellular Automata245
Distributed artificial intelligence246
Genetic algorithms247
Neural networks248
Appendix BLinear stability analysis of the hawk-dove-law-abider model250
Appendix CRandom number generators254
References257
Author index266
Subject index269

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