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Computational and mathematical modeling in the social sciences

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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.

Title Computational and mathematical modeling in the social sciences / Scott de Marchi. [electronic resource]
Additional Titles Computational & Mathematical Modeling in the Social Sciences
Publisher Cambridge : Cambridge University Press
Creation Date 2005
Notes Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes bibliographical references (p. 181-190) and index.
English
Content Not All Fun and Games : Challenges in Mathematical Modeling -- Looking for Car Keys Without Any Street Lights -- From Curses to Complexity: The Justification for Computational Modeling -- Why Everything Should Look Like A Nail : Deriving Parsimonious Encodings for Complex Games -- KKV Redux : Deriving and Testing Logical Implications -- A Short Conclusion.
Extent 1 online resource (xxii, 197 pages) : digital, PDF file(s).
Language English
National Library system number 997010713576605171
MARC RECORDS

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