Symbolic metaprogram search improves learning efficiency and explains rule learning in humans
Abstract Throughout their lives, humans seem to learn a variety of rules for things like applying category labels, following procedures, and explaining causal relationships. These rules are often algorithmically rich but are nonetheless acquired with minimal data and computation. Symbolic models bas...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-50966-x |