Verfügbarkeit: Party competition :

Party competition :: an agent-based model /

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...

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Hauptverfasser:	Laver, Michael, 1949- (VerfasserIn), Sergenti, Ernest (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Princeton, N.J. ; Oxford : Princeton University Press, ©2012.
Schriftenreihe:	Princeton studies in complexity.
Schlagworte:	Political parties. Competition > Political aspects > Simulation methods. POLITICAL SCIENCE > Political Process > Political Parties. Political parties Wahlkampf Parteienwettbewerb Simulation Partei. Wettbewerb. Wahlkampf. Simulation.
Online-Zugang:	Volltext
Zusammenfassung:	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.
Beschreibung:	1 online resource (xii, 278 pages) : illustrations
Bibliographie:	Includes bibliographical references (pages 267-273) and index.
ISBN:	9781400840328 1400840325 1283246201 9781283246200

Internformat

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series	Princeton studies in complexity.
series2	Princeton studies in complexity
spelling	Laver, Michael, 1949- author. https://id.oclc.org/worldcat/entity/E39PBJmdrMQ4vBrxPRkw4yWJjC http://id.loc.gov/authorities/names/n81037952 Party competition : an agent-based model / Michael Laver and Ernest Sergenti. Princeton, N.J. ; Oxford : Princeton University Press, ©2012. 1 online resource (xii, 278 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Princeton studies in complexity Includes bibliographical references (pages 267-273) and index. pt. 1. Preliminaries -- pt. 2. The basic model -- pt. 3. Extensions and empirics. Print version record. 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. Political parties. http://id.loc.gov/authorities/subjects/sh85104371 Competition Political aspects Simulation methods. POLITICAL SCIENCE Political Process Political Parties. bisacsh Political parties fast Wahlkampf gnd http://d-nb.info/gnd/4064292-6 Parteienwettbewerb gnd http://d-nb.info/gnd/4520868-2 Simulation gnd Partei. idszbz Wettbewerb. idszbz Wahlkampf. idszbz Simulation. idszbz Sergenti, Ernest, author. http://id.loc.gov/authorities/names/n2011010569 has work: Party competition (Text) https://id.oclc.org/worldcat/entity/E39PCH3DW36Qw9pwYvvPvB63gq https://id.oclc.org/worldcat/ontology/hasWork Print version: Laver, Michael, 1949- Party competition. Princeton, N.J. ; Oxford : Princeton University Press, ©2012 9780691139036 (DLC) 2011005333 (OCoLC)702357825 Princeton studies in complexity. http://id.loc.gov/authorities/names/n96109405 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=386969 Volltext
spellingShingle	Laver, Michael, 1949- Sergenti, Ernest Party competition : an agent-based model / Princeton studies in complexity. pt. 1. Preliminaries -- pt. 2. The basic model -- pt. 3. Extensions and empirics. Political parties. http://id.loc.gov/authorities/subjects/sh85104371 Competition Political aspects Simulation methods. POLITICAL SCIENCE Political Process Political Parties. bisacsh Political parties fast Wahlkampf gnd http://d-nb.info/gnd/4064292-6 Parteienwettbewerb gnd http://d-nb.info/gnd/4520868-2 Simulation gnd Partei. idszbz Wettbewerb. idszbz Wahlkampf. idszbz Simulation. idszbz
subject_GND	http://id.loc.gov/authorities/subjects/sh85104371 http://d-nb.info/gnd/4064292-6 http://d-nb.info/gnd/4520868-2
title	Party competition : an agent-based model /
title_auth	Party competition : an agent-based model /
title_exact_search	Party competition : an agent-based model /
title_full	Party competition : an agent-based model / Michael Laver and Ernest Sergenti.
title_fullStr	Party competition : an agent-based model / Michael Laver and Ernest Sergenti.
title_full_unstemmed	Party competition : an agent-based model / Michael Laver and Ernest Sergenti.
title_short	Party competition :
title_sort	party competition an agent based model
title_sub	an agent-based model /
topic	Political parties. http://id.loc.gov/authorities/subjects/sh85104371 Competition Political aspects Simulation methods. POLITICAL SCIENCE Political Process Political Parties. bisacsh Political parties fast Wahlkampf gnd http://d-nb.info/gnd/4064292-6 Parteienwettbewerb gnd http://d-nb.info/gnd/4520868-2 Simulation gnd Partei. idszbz Wettbewerb. idszbz Wahlkampf. idszbz Simulation. idszbz
topic_facet	Political parties. Competition Political aspects Simulation methods. POLITICAL SCIENCE Political Process Political Parties. Political parties Wahlkampf Parteienwettbewerb Simulation Partei. Wettbewerb. Wahlkampf. Simulation.
url	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=386969
work_keys_str_mv	AT lavermichael partycompetitionanagentbasedmodel AT sergentiernest partycompetitionanagentbasedmodel

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