A new study suggests that by encouraging behavioral diversity, we can produce a faster, more effective learning curve for robots attempting to complete designated tasks. The study results were published by Jean-Baptiste Mouret and Stephane Doncieux in the journal Evolutionary Computation, produced by the Massachusetts Institute of Technology.
Evolutionary Robotics is a field that aims to create robots able to learn and evolve independently, without anyone dictating their specific course of development. If you assume that robots (or algorithms) will one day take over the world, then evolutionary studies may be our best bet for understanding and controlling our own future. On the other hand, it may also be how we enable our own demotion in the man/machine hierarchy.