I've been trying to recreate Gary's findings regarding Optimum Theory. I have a recursive function that continously updates a matrix with random integers, and averages the values over the entire matrix. But all I'm getting is noise: pic related. I think that the problem lies in the lack of vectors in my model. The question is: how do you derive the vectors from these values?