A Primer for Agent-Based Modeling in Public Administration: Exploring Complexity in “Would-Be” Administrative Worlds

Abstract

This paper explores the basic elements of Agent-Based Models and the implications of this simulation approach for public administration research. The general principles of agent-based modeling are examined with particular attention to the elements of simple rules and emergent behavior. Graphical representations from an agent-based model are provided. Issues of the appropriate application of agent-based modeling are presented. The notion of bureaucracy from the “bottom-up”, or generative public administration, is offered as a means for understanding how the actions of various heterogeneous agents may generate emergent structure and organization. Agent-based modeling provides a novel means for exploring complexity while adding considerable insight into assumptions of rationality and cooperation among human agents.