TY - BOOK AU - Laver,Michael AU - Sergenti,Ernest TI - Party Competition: An Agent-Based Model T2 - Princeton Studies in Complexity SN - 9780691139043 AV - JF2051 U1 - 324.2 23 PY - 2011///] CY - Princeton, NJ : PB - Princeton University Press, KW - Competition KW - Political aspects KW - Simulation methods KW - Political parties KW - POLITICAL SCIENCE / Political Process / Campaigns & Elections KW - bisacsh KW - Monte Carlo parameterization KW - Robert Axelrod KW - Voronoi tessellations KW - agent-based model KW - agent-based modeling KW - agent-based models KW - competition KW - competitive spatial location KW - computational geometry KW - computer simulation KW - decision rules KW - decisions rules KW - dynamic multiparty competition KW - dynamic system KW - grid sweeping KW - multiparty competition KW - party competition KW - party leaders KW - party policy KW - policy preferences KW - political parties KW - political party KW - political systems KW - politicians KW - postwar democracy KW - spatial models KW - stochastic processes KW - valence models KW - vote-seeking rules KW - voter behavior KW - voter preferences KW - votes N1 - Frontmatter --; Contents --; Preface --; Acknowledgments --; Part One: Preliminaries --; 1. Modeling Multiparty Competition --; 2. Spatial Dynamics of Political Competition --; 3. A Baseline ABM of Party Competition --; 4. Systematically Interrogating Agent-Based Models --; Part Two: The Basic Model --; 5. Benchmarking the Baseline Model --; 6. Endogenous Parties, Interaction of Different Decision Rules --; 7. New Decision Rules, New Rule Features --; Part Three: Extensions and Empirics --; 8. The Evolutionary Dynamics of Decision Rule Selection --; 9. Nonpolicy Factors in Party Competition --; 10. Party Leaders with Policy Preferences --; 11. Using Theoretical Models to Analyze Real Party Systems --; 12. In Conclusion --; References --; Index; restricted access; Issued also in print N2 - 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 UR - https://doi.org/10.1515/9781400840328 UR - https://www.degruyter.com/isbn/9781400840328 UR - https://www.degruyter.com/cover/covers/9781400840328.jpg ER -