Robots equipped with artificial neural networks and programmed to find “food” eventually learned to conceal their visual signals from other robots to keep the food for themselves, researchers at the Ecole Polytechnique Federale de Lausanne in Switzerland have found.

(PNAS)

The team “evolved” new generations of robots by copying and combining the artificial neural networks of the most successful robots, and added random changes to their code to mimic biological mutations.