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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Modeling

Computational Modeling

Taber, Charles S.
Timpone, Richard John

Paperback

Series: Quantitative Applications in the Social Sciences, Book 113

General ComputersGeneral Sociology

ISBN10: 0803972709
ISBN13: 9780803972704
Publisher: Sage Publications, Inc
Published: Mar 21 1996
Pages: 104
Weight: 0.29
Height: 0.26 Width: 5.40 Depth: 8.42
Language: English
Why model computationally? Because these methods allow researchers to combine the rich detail of qualitative research with the rigor of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model. The authors treat computational methods, including dynamic simulation (Monte Carlo methods), knowledge-based models (semantic networks, frame systems, and rule-based systems), and machine learning (connectionism, rule induction, and genetic algorithms), as a single broad-based 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: simulate the theory by running the program. Computational Modeling concludes with a discussion of ways to validate computational models.

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