This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical...

In this paper, we construct a computational model of Tiebout competition. We show that the notion that Tiebout competition, as a result of enforcing efficiency, renders institutional arrangements unimportant does not preclude the possibility that political institutions may differ in their...

We study the relationship between voters' preferences and the composition of party platforms in two-party democratic elections with adaptive parties. In the model, a political party locally adapts a platform on an electoral landscape. The electoral landscape is determined by the preferences of...

In this paper, we address the use of adaptive computational modeling techniques in the field of political economy. The introduction considers the advantages of computational methods. The bulk of the paper describe two computational models: a spatial model of electoral competition and a Tiebout...

We present a model of two-party competition that relates the distribution of voters' preferences to the formation of the electoral landscape upon which parties choose issue positions. The two parties in the model tend to converge to similar positions on some issues and diverge on other issues,...

We study the relationship between voters' preferences and the emergence of party platforms in two-party democratic elections with adaptive parties. In the model, preferences of voters and the opposition party's platform determine an electoral landscape on which the challenging party must...