Social-motor experience and perception-action learning bring efficiency to machines

Abstract

Lake et al. proposed a way to build machines that learn as fast as people do. This can be possible only if machines follow the human processes: the perception-action loop. People perceive and act to understand new objects or to promote specific behavior to their partners. In return, the object/person provides information that induces another reaction, and so on.