Social-motor experience and perception-action learning bring efficiency to machines
- PMID: 29342695
- DOI: 10.1017/S0140525X1700022X
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.
Comment in
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Ingredients of intelligence: From classic debates to an engineering roadmap.Behav Brain Sci. 2017 Jan;40:e281. doi: 10.1017/S0140525X17001224. Behav Brain Sci. 2017. PMID: 29342708
Comment on
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Building machines that learn and think like people.Behav Brain Sci. 2017 Jan;40:e253. doi: 10.1017/S0140525X16001837. Epub 2016 Nov 24. Behav Brain Sci. 2017. PMID: 27881212
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