Pareto Learning Model

I have posted a new netlogo model on pareto learning which implements the algorithms from this paper. This is a quick and dirty implementation for an in class demo. As nearly always happens when I do these, I found a slight problem in the paper. They specify two different ways in which the agents choose an action. Namely, first they say that the agents choose actions stochastically based on their expected utilities, then they say that they choose their best action and with probability epsilon choose a random action. After implementing both strategies it became clear that the second one is the one they actually used. Clearly, this was just a problem of the prose being a bit confusing (at least, for me).

It is also interesting to note how such a small change in the action choice method can have such large effects on the system's behavior. Because of this I have to say that the results from this model are not stable, thus they are not of deep significance.