Synthesizing theories of human language with Bayesian program induction

Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. We present a framework for algorithmically synthesizing models of a basic part of human language: morpho-phonology, the system that builds word forms from sou...

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Detalles Bibliográficos
Autores principales: Ellis, Kevin, Albright, Adam, Solar-Lezama, Armando, Tenenbaum, Joshua B., O’Donnell, Timothy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427767/
https://www.ncbi.nlm.nih.gov/pubmed/36042196
http://dx.doi.org/10.1038/s41467-022-32012-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427767/
https://www.ncbi.nlm.nih.gov/pubmed/36042196
http://dx.doi.org/10.1038/s41467-022-32012-w

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