Computational Modeling in Political Science

Abstract

Computational modeling, and agent-based modeling in particular, is becoming increasingly popular in Political Science. With the potential to incorporate many heterogeneous actor and their complex interactions, agent-based models are able to overcome the limitations of conventional modeling approaches. The papers on this panel should apply computational modeling to a variety of research areas in political science and demonstrate how empirical data can be integrated into these models.

Title	Details
Become Who You Are: The Homing Pattern in Partisanship as a Self-Reinforcing Stochastic Process	View Paper Details
How Political Parties Die When Voters’ Expectations are Interdependent. A Simulation Study	View Paper Details
A Behavioural Model of Asymmetric Retrospective Voting	View Paper Details
Voter Knowledge, Competitive Media and Party-Competition: An Agent-Based Model	View Paper Details