PSoup is an educational program in which evolution is demonstrated, on the desk-top, as you watch. Blind bugs evolve sophisticated heuristic search algorithms to be the best at finding food fast.

This is an agent-based model that simulates the structural evolution in food supply chain.

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

The model studies the dynamics of risk-sharing cooperatives among heterogeneous farmers. Based on their knowledge on their risk exposure and the performance of the cooperative farmers choose whether or not to remain in the risk-sharing agreement.

In this model, we simulate the navigation behavior of homing pigeons. Specifically we use genetic algorithms to optimize the navigation and flocking parameters of pigeon agents.

Agent based simulation model for the study of the genetic evolution of sexual recombination and social behavior

Sociodynamica simulates the emergence of cooperation and of economic interactions, showing the synergy achieved by division of labor, the working of shame, and a number of other features that mold the evolution of social cooperation.

This is an agent-based model designed to explore the evolution of cooperation under changes in resources availability for a given population

The code for the paper “Social norms and the dominance of Low-doers”

Evolution of Sex is a NetLogo model that illustrates the advantages and disadvantages of sexual and asexual reproductive strategies. It seeks to demonstrate the answer to the question “Why do we have sex?”