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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.
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Nigel Gilbert (United Kingdom) is a member of the Sociology Department at the University of Surrey. Dr. Klaus G. Troitzsch (Germany) is based at the Universitat Koblenz-Landau.
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 pageBrowse Sample Pages Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:4.5 out of 5 stars 4 reviews
23 of 24 people found the following review helpful
5.0 out of 5 starsThis 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.
12 of 12 people found the following review helpful
4.0 out of 5 starsGood Start Point28 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.
4 of 5 people found the following review helpful
4.0 out of 5 starsPoor diagramation and Graphics Style Standartization12 Feb 2010
By Rolf Simoes - Published on Amazon.com
Format:Paperback|Amazon Verified Purchase
The book's content is good and serves its purpose (5 stars). But its diagramation and graphics are poor and not standartized. Seems like a amateur book (3 stars).