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Agent-Based Models (Quantitative Applications in the Social Sciences)
 
 
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Agent-Based Models (Quantitative Applications in the Social Sciences) [Paperback]

Nigel Gilbert
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Product details

  • Paperback: 112 pages
  • Publisher: Sage Publications, Inc; annotated edition edition (12 Nov 2007)
  • Language English
  • ISBN-10: 1412949645
  • ISBN-13: 978-1412949644
  • Product Dimensions: 21.6 x 14.5 x 0.8 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 363,469 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Author

G. Nigel Gilbert
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Product Description

Product Description

Aimed at readers with minimal experience in computer programming, this brief book provides a theoretical and methodological rationale for using ABM in the social sciences. It goes on to describe some carefully chosen examples from different disciplines, illustrating different approaches to ABM. It concludes with practical advice about how to design and create ABM, a discussion of validation procedures, and some guidelines about publishing articles based on ABM.

About the Author

Nigel Gilbert read for a first degree in Engineering, intending to go into the computer industry. However, he was lured into sociology and obtained his doctorate on the sociology of scientific knowledge from the University of Cambridge, under the supervision of Michael Mulkay. His research and teaching interests have reflected his continuing interest in both sociology and computer science (and engineering more widely).
His main research interests are processual theories of social phenomena, the development of computational sociology and the methodology of computer simulation, especially agent-based modelling. He is Director of the Centre for Research in Social Simulation.

He is also Director of the University's Institute of Advanced Studies and responsible for its development as a leading centre for intellectual interchange.

He is the author or editor of several textbooks on sociological methods of research and statistics and editor of the Journal of Artificial Societies and Social Simulation.


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Most Helpful Customer Reviews
2 of 2 people found the following review helpful
Format:Paperback
This describes itself as a primer and that is exactly what it is. I would like to have seen some more stuff on modelling such systems in a visual sense rather than the author jumping straight into computer models.

Never the less this is a very good introduction to the subject.
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Amazon.com:  9 reviews
11 of 13 people found the following review helpful
Great book when writing papers on ABM 18 Jan 2008
By A Customer - Published on Amazon.com
Format:Paperback
This short book is very useful if you are writing a paper on the results of an agent-based model. It outlines how your paper should be set up and discusses what details to include. Although it presents an overview of what is ABM, it will not teach you how to create an agent-based model. Nonetheless the student or researcher should find this book useful.
4 of 4 people found the following review helpful
Very useful 9 Jun 2009
By A Customer - Published on Amazon.com
Format:Paperback
This small booklet is very good for starters. The examples used are very relevant. I would recomment it for all beginners in agent-based modeling. It contains most of the important information and is very easy to read. It would be better if some necessary math are included.
16 of 21 people found the following review helpful
Misses a key element 20 July 2009
By G. G. RIVAS - Published on Amazon.com
Format:Paperback
This book is fine as far as it goes. But ABM can only be done with software and it fails to mention one of the key players in this area. The author points out that NetLogo is easiest to learn but too simple for large models. Then he points you to the programmers-only solutions of Repast, Swarm, and Mason -- all academic development environments that require you to program in Java. He bemoans the gap between these two extremes yet somehow he skips AnyLogic which is a true high-level application with drag-and-drop model building, sophisticated libraries, model wizards to help beginners, and many advanced features.
It's hard to believe someone would write a book on ABM without first doing at least a Google search on the available tools.
At any rate, the book is a solid theoretical treatment. If you are an expert Java programmer with the time to code models from scratch this will be an important book.
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