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Simulation for the Social Scientist
 
 

Simulation for the Social Scientist [Kindle Edition]

Nigel Gilbert , Klaus Troitzsch

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Product Description

Product Description

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.

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.

Product details

  • Format: Kindle Edition
  • File Size: 3994 KB
  • Print Length: 309 pages
  • Page Numbers Source ISBN: 0335216005
  • Publisher: Open University Press; 2 edition (1 Feb 2005)
  • Sold by: Amazon Media EU S.à r.l.
  • Language English
  • ASIN: B0014EU6KK
  • Text-to-Speech: Enabled
  • Amazon Bestsellers Rank: #306,753 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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More About the Author

G. Nigel Gilbert
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Customer Reviews

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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:  4 reviews
20 of 21 people found the following review helpful
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
Format: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
Good Start Point 28 Oct 2006
By Jose Gustavo Z. Rosa - Published on Amazon.com
Format: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
in great details 15 Feb 2010
By Grad Student - Published on Amazon.com
Format:Paperback|Amazon Verified Purchase
Explains in great details. I learned netLogo programming after going through an example from the book.

Popular Highlights

 (What's this?)
&quote;
Simulation introduces the possibility of a new way of thinking about social and economic processes, based on ideas about the emergence of complex behaviour from relatively simple activities (Simon 1996). &quote;
Highlighted by 5 Kindle users
&quote;
simulation models are concerned with processes, whereas statistical models typically aim to explain correlations between variables measured at one single point in time. &quote;
Highlighted by 5 Kindle users
&quote;
Emergence occurs when interactions among objects at one level give rise to different types of objects at another level. More precisely, a phenomenon is emergent if it requires new categories to describe it which are not required to describe the behaviour of the underlying components. &quote;
Highlighted by 5 Kindle users

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