The organization of information processing resources is a central question in economic, organizational, and computational theory. Recent work by Radner (1992) and others has developed a simple theoretical framework and some useful formal mathematical results about the behavior of such systems....

Simulation models are becoming increasingly common in the analysis of critical scientific, policy, and management issues.Such models provide a way to analyze complex systems characterized by both large parameter spaces and nonlinear interactions. Unfortunately, these same characteristics make...

A model of learning and adaptation is used to analyze the coevolution of strategies in the repeated Prisoner's Dilemma game under both perfect and imperfect reporting. Meta-players submit finite automata strategies and update their choices through an explicit evolutionary process modeled by a...

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...

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 ability to sort...

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,...