Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner

•Key theoretical puzzles of infant language development are still unsolved.•A roadmap for reverse engineering infant language learning using AI is proposed.•AI algorithms should use realistic input (little or no supervision, raw data).•Realistic input should be obtained by large-scale recording in e...

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Veröffentlicht in:	Cognition Jg. 173; S. 43 - 59
1. Verfasser:	Dupoux, Emmanuel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.04.2018 Elsevier Science Ltd Elsevier
Schlagworte:	Artificial Intelligence Building engineers Cognition Cognition & reasoning Cognitive ability Cognitive development Cognitive science Computational mathematics Computational modeling Computer applications Computer Science Corpus analysis Early language acquisition Engineering Feasibility Infant development Infants Information processing Language Language acquisition Language bootstrapping Learning algorithms Linguistics Machine learning Machinery Privacy Psycholinguistics Speech Infant development Computational modeling Early language acquisition psycholinguistics Machine learning Speech Artificial intelligence Language bootstrapping Corpus analysis early language acquisi-tion corpus analysis language bootstrapping speech compu-tational modeling machine learning infant development
ISSN:	0010-0277, 1873-7838, 1873-7838
Online-Zugang:	Volltext
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