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Human-like systematic generalization through a meta-learning neural network
The power of human language and thought arises from systematic compositionality—the algebraic ability to understand and produce novel combinations from known components. Fodor and Pylyshyn(1) famously argued that artificial neural networks lack this capacity and are therefore not viable models of th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620072/ https://www.ncbi.nlm.nih.gov/pubmed/37880371 http://dx.doi.org/10.1038/s41586-023-06668-3 |