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Simulation for the Social Scientist

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Authors: Nigel Gilbert, Klaus G Troitzsch
Publisher: Open University Press
Category: Book

List Price: ~~$31.95~~
Buy Used: $26.00
You Save: $5.95 (19%)

New (2) Used (5) from $26.00

Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 273
Shipping Weight (lbs): 1
Dimensions (in): 8.9 x 6 x 0.9

ISBN: 0335197442
Dewey Decimal Number: 300.11
EAN: 9780335197446
ASIN: 0335197442

Publication Date: April 1, 1999
Availability: Usually ships in 1-2 business days

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Editorial Reviews:

Product Description
* What can computer simulation contribute to the social sciences?brbr* Which of the many approaches to simulation would be best for my social science project?brbr* How do I design, carry out and analyse the results from a computer simulation?brbrSimulation for the Social Scientist is a practical textbook on the techniques of building computer simulations to assist understanding of social and economic issues and problems.brbrInterest in social simulation has been growing very rapidly world-wide as a result of increasingly powerful hardware and software and also a rising interest in the application of ideas of complexity, evolution, adaptation and chaos in the social sciences. This authoritative book outlines all the common approaches to social simulation at a level of detail which will give social scientists an appreciation of the literature and allow those with some programming skills to create their own simulations.brbrSocial scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science. It will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.

Customer Reviews:

5 out of 5 stars

brilliant book! for professionals and also beginners! November 4, 1999
16 out of 17 found this review helpful

This book is about the uses of simulation in the social sciences, its various methods and implementations (with examples in lisp).I like it, because its easy understandable even for non-computer-scientists, and there are actual and scientific important research-examples at the end of every chapter. I presume that it is the only book which provides a global introduction to this field (especially with this social-science background knowledge). A sociologican who is interessted in research about complex social phenomena should read this book! After doing this, I hunger for a programming-course!

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