  We study in this paper three aspects of Mean Field Games. The first one is
the case when the dynamics of each player depend on the strategies of the other
players. The second one concerns the modeling of '' noise '' in discrete space
models and the formulation of the Master Equation in this case. Finally, we
show how Mean Field Games reduce to agent based models when the intertemporal
preference rate goes to infinity, i.e. when the anticipation of the players
vanishes.
