Discriminators who have limited tolerance for helping dissimilar others are necessary for the evolution of costly cooperation in a one-shot Prisoner’s Dilemma. Existing research reports that trust in

A spatial prisoner’s dilemma model with mobile agents, de-coupled birth-death events, and harsh environments.

The model employs an agent-based model for exploring the victim-centered approach to identifying human trafficking and the approach’s effectiveness in an abstract representation of migrant flows.

This model studies the effect of the agents’ adaptive expectation on cooperation frequency in the prisoner’s dilemma game in complex networks from an agent based approach. The model is implemented in Repast simphony 1.2.

This model simulates the heterogeneity of preferences in a PG game and how the interaction between them affects the dynamics of voluntary contributions. Model is based on the results of a human-based experiment.

Cultural group selection model of agents playing public good games and who are able to punish and punish back.

Dynamic bipartite network model of agents and games in which agents can participate in multiple public goods games.

The (cultural) evolution of cooperative breeding in harsh environments.

This NetLogo model implements the Walk Away strategy in a spatial public goods game, where individuals have the ability to leave groups with insufficient levels of cooperation.

This is a replication of the altruistic trait selection model described in Pepper & Smuts (2000, 2002).