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Computational Modeling

By: Charles S. Taber, Richard John Timpone

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Paperback | 1 November 2004

At a Glance

Paperback
104 Pages

Dimensions(cm)
21.59 x 13.97 x 0.64

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Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model.

After an introduction to modelling, the authors discuss the role of computational methods in the social sciences. They treat computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations, including four detailed examples. Common to most of these methods is a straightforward underlying approach: develop a process theory, express this theory as a computer program, and simulate the theory by running the program. The book concludes with a discussion of ways to validate computational models.

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