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eBook Party Competition: An Agent-Based Model (Princeton Studies in Complexity) download
Politics
Author: Michael Laver,Ernest Sergenti
ISBN: 0691139032
Subcategory: Politics & Government
Pages 296 pages
Publisher Oxford University Press; 1 edition (October 30, 2011)
Language English
Category: Politics
Rating: 4.8
Votes: 347
ePUB size: 1542 kb
FB2 size: 1300 kb
DJVU size: 1709 kb
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eBook Party Competition: An Agent-Based Model (Princeton Studies in Complexity) download

by Michael Laver,Ernest Sergenti


Party Competition shows how agent-based modeling can be used to. .

Party Competition shows how agent-based modeling can be used to accurately reflect how political systems really work. Here Michael Laver and Ernest Sergenti offer the first comprehensive treatment of party competition using the computational techniques of agent-based modeling.

Here Michael Laver and Ernest Sergenti offer the first comprehensive treatment of party competition .

Here Michael Laver and Ernest Sergenti offer the first comprehensive treatment of party competition using the computational techniques of agent-based modeling. This is a new book on an old SUBJECT: the contest between political parties in regular, free and competitive elections, a contest that underpins most working definitions of representative democracy.

Электронная книга "Party Competition: An Agent-Based Model", Michael Laver, Ernest Sergenti. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Party Competition: An Agent-Based Model" для чтения в офлайн-режиме.

by Michael Laver (Author), Ernest Sergenti (Author). "Laver and Sergenti present a bold and rigorous new approach to interparty electoral competition. Similar books to Party Competition: An Agent-Based Model (Princeton Studies in Complexity). Up to 50% off select clothing, shoes and bags. Save on top brands including Tommy Hilfiger, Calvin Klein, Armani, Lacoste and more. Their results are remarkable and often puzzling, offering plentiful food for thought for modelers, analytical theorists, and empiricists alike.

Every new extension of the model entails sig-nicant increases in complexity.

In the rst sentence of the concluding chapter of this pathbreaking book, Michael Laver and Ernest Sergenti speak personally to the reader: We have come a long way together since the beginning of this book (p. 258). For the attentive reader, that is a fact. This is a book that strives for a great deal and asks for a great deal. Every new extension of the model entails sig-nicant increases in complexity. In some respects, Laver and Sergenti lean toward the simplest, most abstract kind of ABM work by repeatedly professing fealty to Robert Axelrod’s famous KISS principle-Keep It Simple Stupid-as an imperative to parsimony that they seek to honor.

Party Competition: An Agent-Based Model. By Michael Laver and Ernest Sergenti. Princeton: Princeton University Press, 2011. 1University of Pennsylvania.

To do so, the book presents an in-depth investigation on an agent based model developed by one of the authors (Laver .

To do so, the book presents an in-depth investigation on an agent based model developed by one of the authors (Laver 2005). It is structured around three parts. The first part (chapters 1-4) discusses the usefulness and the need for agent-based models to address multiparty competition. The second one (chapters 5-7) introduces the model. The third part (chapters 8-12) explores extensions of the model with a chapter where the model is compared to real party systems.

Princeton Studies in Complexity includes volumes for academics and practitioners on focused topics that cut across disciplines. Party Competition: An Agent-Based Model Michael Laver and Ernest Sergenti.

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Party Competition : An Agent-Based Model. Laver and Sergenti present a new methodology for the study of a quite central and traditional problem in political science. Princeton Studies in Complexity.

Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes that are continuously evolving, yet classical theoretical approaches to the subject leave many important questions unanswered. Here Michael Laver and Ernest Sergenti offer the first comprehensive treatment of party competition using the computational techniques of agent-based modeling. This exciting new technology enables researchers to model competition between several different political parties for the support of voters with widely varying preferences on many different issues. Laver and Sergenti model party competition as a true dynamic process in which political parties rise and fall, a process where different politicians attack the same political problem in very different ways, and where today's political actors, lacking perfect information about the potential consequences of their choices, must constantly adapt their behavior to yesterday's political outcomes.Party Competition shows how agent-based modeling can be used to accurately reflect how political systems really work. It demonstrates that politicians who are satisfied with relatively modest vote shares often do better at winning votes than rivals who search ceaselessly for higher shares of the vote. It reveals that politicians who pay close attention to their personal preferences when setting party policy often have more success than opponents who focus solely on the preferences of voters, that some politicians have idiosyncratic "valence" advantages that enhance their electability--and much more.