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Computational and Mathematical Modeling in the Social Sciences Scott de Marchi (Duke University, North Carolina)

Computational and Mathematical Modeling in the Social Sciences By Scott de Marchi (Duke University, North Carolina)

Computational and Mathematical Modeling in the Social Sciences by Scott de Marchi (Duke University, North Carolina)


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Summary

It provides an overview and a critique of mathematical modeling in the social sciences. It covers the three major traditions: game theory, statistics, and computational modeling. Because there are genuine problems with the state of current research, a new framework for conducting research that integrates the three traditions is proposed.

Computational and Mathematical Modeling in the Social Sciences Summary

Computational and Mathematical Modeling in the Social Sciences by Scott de Marchi (Duke University, North Carolina)

Mathematical models in the social sciences have become increasingly sophisticated and widespread in the last decade. This period has also seen many critiques, most lamenting the sacrifices incurred in pursuit of mathematical rigor. If, as critics argue, our ability to understand the world has not improved during the mathematization of the social sciences, we might want to adopt a different paradigm. This book examines the three main fields of mathematical modeling - game theory, statistics, and computational methods - and proposes a new framework for modeling. Unlike previous treatments which view each field separately, the treatment provides a framework that spans and incorporates the different methodological approaches. The goal is to arrive at a new vision of modeling that allows researchers to solve more complex problems in the social sciences. Additionally, a special emphasis is placed upon the role of computational modeling in the social sciences.

Computational and Mathematical Modeling in the Social Sciences Reviews

' we have in this slim volume, full of good ideas, deep insights and practical advice for how to do sound methodological work and how not to do it. Given these strengths, this book should earn a cultish following among graduate students who possess a methodological bent.' Public Choice

About Scott de Marchi (Duke University, North Carolina)

Scott de Marchi is Assistant Professor of Political Science at Duke University. His work has been funded by the National Science Foundation, and he has published articles in the American Political Science Review, Journal of Politics, Journal of Theoretical Politics and Public Choice. Professor de Marchi was appointed a Fellow-at-Large by the Santa Fe Institute in 1999, and is a faculty member of the Ralph Bunche Summer Institute and the Empirical Implications of Theoretical Models program. His research continues to focus on the field of computational political economy and other mathematical methods, individual decision-making, the presidency, and public policy.

Table of Contents

1. Not all fun and games: challenges in mathematical modeling; 2. Looking for car keys without any street lights; 3. From curses to complexity: the justification for computational modeling; 4. Why everything should look like a nail: deriving parsimonious encodings for complex games; 5. KKV redux: deriving and testing logical implications.

Additional information

NPB9780521853620
9780521853620
0521853621
Computational and Mathematical Modeling in the Social Sciences by Scott de Marchi (Duke University, North Carolina)
New
Hardback
Cambridge University Press
2005-08-15
220
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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