A sense of curiosity is helpful for artificial intelligence

Another approach to training machines

Aug 30th 2018

SOFTWARE that can learn is changing the world, but it needs supervision. Humans provide such oversight in two ways. The first is to show machine-learning algorithms large sets of data that describe the task at hand. Labelled pictures of cats and dogs, for instance, allow an algorithm to learn to discriminate between the two. The other form of supervision is to set a specific goal within a highly structured environment, such as achieving a high score in a video game, and then let the algorithm try out lots of possibilities until it finds one that achieves the objective.

This article appeared in the Science & technology section of the print edition under the headline “Head full of brains, shoes full of feet”