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

  • Ludovic Marin (a1) and Ghiles Mostafaoui (a2)


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.



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