Over a period of about a decade, Jonathan Bendor, Daniel Diermeier, Michael Ting, Dilip Mookherjee, Debraj Ray, and I worked on a series of papers applying aspiration-based learning rules, such as Herbert Simon‘s satisficing, to different aspects of electoral competition. Jon, Daniel, Mike, and I unified the three core models of voter turnout, voter choice, and party positioning via a computational model, and then extended it to multiparty elections. We published the resulting unified model in the 2011 book A Behavioral Theory of Elections, from Princeton University Press.
Here you can find a few web resources for the book, including Integrated Book Models, Version 1.0 (zip), the Specialized Model for Chapter 3, and the Color Figures for Ch 6 Dynamics (zip).
