Party Competition: An Agent-Based Model

(Paperback)

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Description

Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes. This title offers a comprehensive treatment of party competition using the computational techniques of agent-based modeling. It shows how agent-based modeling can be used to reflect how political systems really work.

Reviews

"[T]he book is an excellent starting point for everyone interested in party competition and provides food for future agent-based research."--Vctor M. Eguluz, JASSS "Besides political scientists who are interested in the topic, this book is well suited for any social scientist who looks for an exemplary introduction to basic techniques of simulation-based research."--Johannes Zschache, RMM "This is a rich and provocative book... For methodologically sophisticated political scientists, and especially those interested in spatial analysis, this is no doubt the best introduction available to the challenging, exciting, and, to many, still mysterious worlds of agent-based modeling."--Charles H. Blake, Perspectives on Politics

Author Bio

Michael Laver is professor of politics at New York University. He is the coauthor of "Multiparty Government: The Politics of Coalition in Europe". Ernest Sergenti is a consultant at the World Bank.