Understand the cogs to understand cognition
- PMID: 29342693
- DOI: 10.1017/S0140525X17000218
Understand the cogs to understand cognition
Abstract
Lake et al. suggest that current AI systems lack the inductive biases that enable human learning. However, Lake et al.'s proposed biases may not directly map onto mechanisms in the developing brain. A convergence of fields may soon create a correspondence between biological neural circuits and optimization in structured architectures, allowing us to systematically dissect how brains learn.
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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