Cover image for Political Complexity : Nonlinear Models of Politics.
Political Complexity : Nonlinear Models of Politics.
Title:
Political Complexity : Nonlinear Models of Politics.
Author:
Richards, Diana Eva-Ann.
ISBN:
9780472026999
Personal Author:
Physical Description:
1 online resource (360 pages)
Contents:
Contents -- Nonlinear Modeling: All Things Suffer Change / Diana Richards -- Part 1: Spatial Nonlinearity: Optimization and Search -- Consequences of Nonlinear Preferences in a Federal System / Ken Kollman, John H. Miller, and Scott E. Page -- Landscapes as Analogues of Political Phenomena / D. Scott Bennett -- Part 2: Temporal Nonlinearity: Complexity over Time -- Episodic Nonlinear Event Detection: Political Epochs in Exchange Rates / Chris Brooks, Melvin J. Hinich, and Robert E. Molyneux -- Congressional Campaign Contributions, District Service, and Electoral Outcomes in the United States: Statistical Tests of a Formal Game Model with Nonlinear Dynamics / Walter M. Mebane Jr. -- I Know You Know He or She Knows We Know You Know They Know: Common Knowledge and the Unpredictability of Informational Cascades / Susanne Lohmann -- Nonlinear Dynamics in Games: Convergence and Stability in International Environmental Agreements / Diana Richards -- Part 3: Functional Nonlinearity: Networks and Patterns -- Stochastic Prediction and Estimation of Nonlinear Political Durations: An Application to the Lifetime of Bureaus / Daniel P. Carpenter -- Neural Network Models for Political Analysis / Langche Zeng -- Economic Sanctions and Neural Networks: Forecasting Effectiveness and Reconsidering Cooperation / David H. Bearce -- Pattern Recognition of International Crises Using Hidden Markov Models / Philip A. Schrodt -- Part 4: Conclusion -- Optimizing, Strategizing, and Recognizing: Learning in a Dynamic Social Environment / Diana Richards -- Contributors -- Index.
Abstract:
Demonstrates how non-linear models help us understand political phenomena.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic Access:
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