Simulation for the Social Scientist
and over 900,000 other books are available for Amazon Kindle .
Learn more
| ||||||||||||||||||||
 Trade In this Item for up to £12.50
Trade in Simulation for the Social Scientist for an Amazon.co.uk gift card of up to £12.50, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Find more products eligible for trade-in.
|
Frequently Bought Together
Product details
|
More About the Author
Product Description
Product Description
What can computer simulation contribute to the social sciences? Which of the many approaches to simulation would be best for my social science project? How do I design, carry out and analyse the results from a computer simulation? Interest in social simulation has been growing rapidly worldwide 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. "Simulation 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. This authoritative book details all 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 new chapter on designing multi-agent systems, to support the fact that multi-agent modelling has become the most common approach to simulation, and new examples and guides to current software Updated throughout to take new approaches into account. The book is an essential tool for social scientists in a wide range of fields, particularly 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.
About the Author
Professor Nigel Gilbert is a member of the Sociology Department at the University of Surrey. He has published many articles and has been both an editor and author of sociology books. Professor Dr Klaus G. Troitzsch is a member of the Universitat Koblenz-Landau, and has been an author and editor of many books and articles in sociology and political science.
Inside This Book
(Learn More)
First Sentence
Using computer simulation in the social sciences is a rather new idea - although the first examples date from the 1960s, simulation only began to be used widely in the 1990s - but one that has enormous potential. Read the first page Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Using computer simulation in the social sciences is a rather new idea - although the first examples date from the 1960s, simulation only began to be used widely in the 1990s - but one that has enormous potential. Read the first page Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product)
|
What Other Items Do Customers Buy After Viewing This Item?
Customer Reviews
|
There are no customer reviews yet on Amazon U.K.
|
||||||||||||||||||||
|
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4.5 out of 5 stars (4 customer reviews)
20 of 21 people found the following review helpful:
5.0 out of 5 stars
This world-class social science book just got even better with this new 2nd edition., 27 Jun 2005
By Claudio Cioffi - Published on Amazon.com
This review is from: Simulation for the Social Scientist (Paperback)
This is an excellent introduction to and comprehensive historical and analytical survey of the interdisciplinary science of social simulation modeling, written by two internationally-acclaimed computational social scientists. The initial chapters focus on the foundations of computational modeling in the social sciences. Subsequent chapters provide lucid and well-documented materials on system dynamics, microsimulations, neural nets, cellular automata and related models, ending with multi-agent systems, agent-based models and evolutionary computation. Significant additions to the earier version include hands-on excercises using NetLogo and other valuable pedagogical materials. This is "must-ready" for anyone interested in the computational science of social complexity at all levels of modeling, from individuals and groups to nations and the world system. The international bibliography and internet references also give a concrete sense of the increasingly global network of the research community in this area.
10 of 10 people found the following review helpful:
4.0 out of 5 stars
Good Start Point, 28 Oct 2006
By Jose Gustavo Z. Rosa "jguszr" - Published on Amazon.com
This review is from: Simulation for the Social Scientist (Paperback)
This book could be considered a first reading on Social science simulation.
It's easy to read, has really good examples and most important has a lot of references to other books and tools.
Do not set your expectations too high, it won't teach you how to build simulation, it just point out several different ways of doing it.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
in great details, 15 Feb 2010
By Grad Student "Monika" - Published on Amazon.com
This review is from: Simulation for the Social Scientist (Paperback)
Explains in great details. I learned netLogo programming after going through an example from the book.
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
|
|
Look for similar items by category
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
|
