Five ways in which computational models can help advancing Artificial Grammar Learning research

W.H. Zuidema, Robert French, Raquel Garrido Alhama, Kevin Ellis, Tim O'Donell, Tim Sainburgh, Tim Gentner

Research output: Contribution to journal › Article › Scientific › peer-review

Cite this

@article{a05619976a694410ab08a88f1a3d686b,

title = "Five ways in which computational models can help advancing Artificial Grammar Learning research",

author = "W.H. Zuidema and Robert French and {Garrido Alhama}, Raquel and Kevin Ellis and Tim O'Donell and Tim Sainburgh and Tim Gentner",

year = "2019",

language = "English",

journal = "Topics in Cognitive Science",

issn = "1756-8757",

publisher = "John Wiley & Sons Inc.",

}

TY - JOUR

T1 - Five ways in which computational models can help advancing Artificial Grammar Learning research

AU - Zuidema, W.H.

AU - French, Robert

AU - Garrido Alhama, Raquel

AU - Ellis, Kevin

AU - O'Donell, Tim

AU - Sainburgh, Tim

AU - Gentner, Tim

PY - 2019

Y1 - 2019

M3 - Article

SN - 1756-8757

JO - Topics in Cognitive Science

JF - Topics in Cognitive Science

ER -