On the linear discrepancy model and risky shifts in group behavior: a nonlinear Fokker–Planck perspective

Abstract

Using a nonlinear Fokker–Planck perspective we re-formulate the linear discrepancy model proposed by Boster and colleagues that describes the emergence of risky shifts during group decision making. Analytical expressions for the stationary case are derived and risky shifts are obtained by Monte Carlo simulations. Striking similarities with the Kuramoto model for group synchronization are pointed out.