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- W2150599371 abstract "Analogical transfer in sequence learning is presented as an example of how the type-2 problem of learning an unbounded number of isomorphic sequences is reduced to the type-1 problem of learning a small finite set of sequences. The commentary illustrates how the difficult problem of appropriate analogical filter creation and selection is addressed while avoiding the trap of strong nativism, and it provides theoretical and experimental evidence for the existence of dissociable mechanisms for type-1 learning and type-2 recoding." @default.
- W2150599371 created "2016-06-24" @default.
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- W2150599371 date "1997-03-01" @default.
- W2150599371 modified "2023-09-27" @default.
- W2150599371 title "Reducing problem complexity by analogical transfer" @default.
- W2150599371 doi "https://doi.org/10.1017/s0140525x97270020" @default.
- W2150599371 hasPublicationYear "1997" @default.
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