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- W3090251926 endingPage "915" @default.
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- W3090251926 abstract "The scope of human learning and development poses a radical challenge for cognitive science. We propose that developmental theories can address this challenge by adopting perspectives from computer science. Many of our best models treat learning as analogous to computer programming because symbolic programs provide the most compelling account of sophisticated mental representations. We specifically propose that children's learning is analogous to a particular style of programming called hacking, making code better along many dimensions through an open-ended set of goals and activities. By contrast to existing theories, which depend primarily on local search and simple metrics, this view highlights the many features of good mental representations and the multiple complementary processes children use to create them." @default.
- W3090251926 created "2020-10-08" @default.
- W3090251926 creator A5021623619 @default.
- W3090251926 creator A5071093940 @default.
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- W3090251926 date "2020-11-01" @default.
- W3090251926 modified "2023-10-12" @default.
- W3090251926 title "The Child as Hacker" @default.
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- W3090251926 doi "https://doi.org/10.1016/j.tics.2020.07.005" @default.
- W3090251926 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7673661" @default.
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- W3090251926 hasPublicationYear "2020" @default.
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