Computational and mathematical modeling in the social sciences /

Computational and mathematical modeling in the social sciences /

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Bibliographic Details
Author / Creator:	De Marchi, Scott.
Imprint:	Cambridge ; New York : Cambridge University Press, 2005.
Description:	1 online resource (xxii, 197 pages) : illustrations
Language:	English
Subject:	Social sciences -- Mathematical models. Social sciences -- Mathematical models.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11826202

Hidden Bibliographic Details
ISBN:	9780511345180 0511345186 9780511510588 0511510586 9780521853620 0521853621 9781139131421 1139131427 9780521619134 0521619130 0521853621 0521619130
Notes:	Includes bibliographical references (pages 181-190) and index.
Summary:	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.
Other form:	Print version: De Marchi, Scott. Computational and mathematical modeling in the social sciences. Cambridge ; New York : Cambridge University Press, 2005 9780521853620

Table of Contents:

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.