Exercise: Multiple Agents

Exercise: Multiple Agents#

  1. Try evolutionary algorithm for an optimization of your interest while varying the methods and parameters for mutaion, crossover, and selection.

  1. Model some kind of interaction between people in a game theoretic framework, define payoff matrices, and identify Nash equilibria and ESSs.

  1. See how the replicator dynamics of the rock-scissors-paper game changes with the parameter \(a\).