Can a computer think like a baby? – Nature.com
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ARTIFICIAL INTELLIGENCE
Nature Human Behaviour (2022)
103
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Artificial intelligence systems have struggled to understand common-sense laws of the physical world, even though this ‘intuitive physics’ is rapidly acquired by young humans. Piloto et al. demonstrate that a deep learning system closely modelled on infant cognition outperforms the more traditional ‘learning from scratch’ systems.
In 1950, Alan Turing — a highly influential theoretical computer scientist — wrote “Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child’s?”1. According to Turing, a computer could be made to think like an adult if we start with the mind of a child and provide it with the appropriate experiences.
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Turing, A. Mind 69, 433–460 (1950).
Article Google Scholar
Piloto, L. S., Weinstein, A., Battaglia, P. & Botvinick, M. Nat. Hum. Behav. https://doi.org/10.1038/s41562-022-01394-8 (2022).
Article Google Scholar
Hespos, S. J. & Baillargeon, R. Cognition 78, 207–245 (2001).
CAS Article Google Scholar
Needham, A. & Baillargeon, R. Cognition 47, 121–148 (1993).
CAS Article Google Scholar
Spelke, E. S., Breinlinger, K., Macomber, J. & Jacobson, K. Psychol. Rev. 99, 605–632 (1992).
CAS Article Google Scholar
Spelke, E. S. Cogn. Sci. 14, 29–56 (1990).
Article Google Scholar
Spelke, E. S. & Kinzler, K. D. Dev. Sci. 10, 89–96 (2007).
Article Google Scholar
Thelen, E. & Smith, L. B. A Dynamic Systems Approach to the Development of Cognition and Action (MIT Press, 1996).
Gopnik, A. Science 337, 1623–1627 (2012).
CAS Article Google Scholar
Oakes, L. M. & Rakison, D. H. Developmental Cascades (Oxford Univ. Press, 2020).
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Psychology Department, Northwestern University, Evanston, IL, USA
Susan Hespos & Apoorva Shivaram
MARCS Institute for Brain Behaviour and Development, Western Sydney University, Penrith, New South Wales, Australia
Susan Hespos
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Correspondence to Susan Hespos.
The authors declare no competing interests.
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Hespos, S., Shivaram, A. Can a computer think like a baby?. Nat Hum Behav (2022). https://doi.org/10.1038/s41562-022-01395-7
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DOI: https://doi.org/10.1038/s41562-022-01395-7
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