Jiin Jung and I develop this Agent-based model for what we call the Trust Dilemma in the 2017 Workshop in Computational Social Science at the Santa Fe Institute.
The repository contains python code for the Agent-based model and some R code for the data analysis. The file run.py creates some datasets for different levels of trust thresholds among agents. Consider that this code is not very efficient and it may take several hours to run, depending on the sample size of agents and the number of iterations.
You can read our brief report by clicking on this link. Keep in mind that this is still work in progress.