Both models simulate n-person prisoner dilemma in groups (left figure) where agents decide to C/D – using a stochastic threshold algorithm with reinforcement learning components. We model fixed (single group ABM) and dynamic groups (bad-barrels ABM). The purpose of the bad-barrels model is to assess the impact of information during meritocratic matching. In the bad-barrels model, we incorporated a multidimensional structure in which agents are also embedded in a social network (2-person PD). We modeled a random and homophilous network via a random spatial graph algorithm (right figure).
Version 1.0.0 of June 2021
|Version||Submitter||First published||Last modified||Status|
|1.0.0||Carlos A. de Matos Fernandes||Thu Jan 20 14:43:34 2022||Thu Jan 20 14:43:34 2022||Published|