payoffs while all the other players optimize their paths so some things that I think could be interesting to look at from machine learning code of view are weather cycles in markets can be explained by the failure of optimization algorithms to converge if we have trouble fitting generative Evaristo nuts and we have complete information just think about how hard it is to choose prices for goods when there are many more actors and when you don't have complete information about the market I'm sure this has been studied to some