In this work we propose an evolution model based on the competition between
individuals belonging to populations of neural networks, obeying the Hopfi
eld dynamics. The selection rule adopted relies on generalization and natur
al classification abilities. The results obtained through computer simulati
on show that these populations self-organize and evolve towards equilibrium
states in the region of transition between ordered and disordered phases.