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The Resource Political complexity : nonlinear models of politics, edited by Diana Richards

Political complexity : nonlinear models of politics, edited by Diana Richards

Label
Political complexity : nonlinear models of politics
Title
Political complexity
Title remainder
nonlinear models of politics
Statement of responsibility
edited by Diana Richards
Contributor
Subject
Language
eng
Summary
This collection illustrates how nonlinear methods can provide new insight into existing political questions. Politics is often characterized by unexpected consequences, sensitivity to small changes, non-equilibrium dynamics, the emergence of patterns, and sudden changes in outcomes. These are all attributes of nonlinear processes. Bringing together a variety of recent nonlinear modeling approaches, Political Complexity explores what happens when political actors operate in a dynamic and complex social environment. The contributions to this collection are organized in terms of three branches within non-linear theory: spatial nonlinearity, temporal nonlinearity, and functional nonlinearity. The chapters advance beyond analogy towards developing rigorous nonlinear models capable of empirical verification. Contributions to this volume cover the areas of landscape theory, computational modeling, time series analysis, cross-sectional analysis, dynamic game theory, duration models, neural networks, and hidden Markov models. They address such questions as: Is international cooperation necessary for effective economic sanctions? Is it possible to predict alliance configurations in the international system? Is a bureaucratic agency harder to remove as time goes on? Is it possible to predict which international crises will result in war and which will avoid conflict? Is decentralization in a federal system always beneficial? The contributors are David Bearce, Scott Bennett, Chris Brooks, Daniel Carpenter, Melvin Hinich, Ken Kollman, Susanne Lohmann, Walter Mebane, John Miller, Robert E. Molyneaux, Scott Page, Philip Schrodt, and Langche Zeng. This book will be of interest to a broad group of political scientists, ranging from those who employ nonlinear methods to those curious to see what it is about. Scholars in other social science disciplines will find the new methodologies insightful for their own substantive work. Diana Richards is Associate Professor of Political Science, University of Minnesota
Cataloging source
MERUC
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Political complexity : nonlinear models of politics, edited by Diana Richards
Label
Political complexity : nonlinear models of politics, edited by Diana Richards
Link
http://www.jstor.org/stable/10.3998/mpub.16428
Publication
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
pt. 1. Spatial nonlinearity : optimization and search -- pt. 2. Temporal nonlinearity : complexity over time -- pt. 3. Functional nonlinearity : networks and patterns -- pt. 4. Conclusion
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9780472026999&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4337296'}
Extent
1 online resource (vi, 353 pages)
Form of item
online
Isbn
9780472026999
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Reproduction note
Electronic reproduction.
Specific material designation
remote
System details
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.

Library Locations

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      42.729766 -73.682577
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