Recognition games

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.