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

Nigel Gilbert
4.0 out of 5 stars  See all reviews (1 customer review)
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Book Description

12 Nov 2007 1412949645 978-1412949644 annotated edition
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.

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Agent-Based Models (Quantitative Applications in the Social Sciences) + Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
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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: 14 x 0.6 x 21.6 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 341,708 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description

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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3 of 3 people found the following review helpful
4.0 out of 5 stars Very good if slightly limited 30 Dec 2008
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: 3.7 out of 5 stars  10 reviews
7 of 7 people found the following review helpful
2.0 out of 5 stars More of an "introduction" paper than a real textbook 31 May 2010
By Inon Zukerman - Published on Amazon.com
Format:Paperback|Amazon Verified Purchase
The aim of this book is to be some sort of a very quick introduction of agent based models to social scientists. Please be advice that this is exactly what he does, very concise in text and lacking examples and information. This book is definitely not what one comes to expect when looking for a textbook.

Shortly stated, agent based models is an emerging methodology that allows us to explore complex system that are to hard to define and explore analytically. As such, the idea is to define many simple entities (agents) with simple behavioral rules, put them in a multiagent environment that is also governed by simple rules, and watch as their local interactions cause the emergent of some global impact on the overall system (such as the emergent of some equilibrium point). The author, Nigel Gilber, is a well respected researchers in that field with profound contribution over the years.

The main problem is that this 'book' is basically a quite straightforward "introduction" paper that one can often find with simple search on the internet. It seems that the book is an in essence an extension of such paper. In terms of content, there are 20 pages on the introduction (what are agent-based models), which is an important read to newcomers. Then 10 pages of different parameters that people use in their experimental environments, and 16 pages on ways of using agent based models for social science research. This is basically the book. There are also another 22 pages on describing some programming environment, named NetLogo, but that information is widely available on the Internet, alongside many other free development environments that are often better (e.g. Ascape) with better online manuals.

This booklet is overly pricy, very shallow in content, examples and references as one would expect from a textbook (even in an introductory one). In addition, the book is very short and thin, and with a very cheap printing and cover. It is definitely not worth the requested price, and will be needed to complement with another book on the topic (e.g. an excellent textbook on the topic named "Complex Adaptive Systems").
6 of 6 people found the following review helpful
4.0 out of 5 stars Very useful 9 Jun 2009
By Systems Analytics - 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.
12 of 15 people found the following review helpful
4.0 out of 5 stars Great book when writing papers on ABM 18 Jan 2008
By W. Clifton Baldwin - 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.
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