Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Emergent modularity and U-shaped learning in a constructivist neural network learning the English past tense
AU - Westermann, G
PY - 1998
Y1 - 1998
N2 - A constructivist neural network model is presented that learns the past tense of English verbs. The model builds its architecture in response to the learning task in a way consistent with neurobiological and psychological evidence. The model outperforms existing connectionist and symbolic past tense models in terms of learning and generalization behavior, and it displays a U-shaped learning curve for many irregular verbs. The trained model develops a modular architecture with dissociations between regular and irregular verbs, and lesioning the different pathways leads to results comparable with neurological disorders. It is argued that the success of the model is due to its constructivist nature, and that the distinction between fixed-architecture and constructivist models is fundamental. Given this distinction, constructivist systems provide more realistic models of cognitive development.
AB - A constructivist neural network model is presented that learns the past tense of English verbs. The model builds its architecture in response to the learning task in a way consistent with neurobiological and psychological evidence. The model outperforms existing connectionist and symbolic past tense models in terms of learning and generalization behavior, and it displays a U-shaped learning curve for many irregular verbs. The trained model develops a modular architecture with dissociations between regular and irregular verbs, and lesioning the different pathways leads to results comparable with neurological disorders. It is argued that the success of the model is due to its constructivist nature, and that the distinction between fixed-architecture and constructivist models is fundamental. Given this distinction, constructivist systems provide more realistic models of cognitive development.
KW - COGNITIVE-DEVELOPMENT
KW - MODEL
KW - LANGUAGE
KW - SYSTEM
M3 - Conference contribution/Paper
SN - 0-8058-3231-9
SP - 1130
EP - 1135
BT - Proceedings of the Twentieth Annual Conference of the Cognitive Science Society
A2 - Gernsbacher, Morton Ann
A2 - Derry, Sharon J.
PB - LAWRENCE ERLBAUM ASSOC PUBL
CY - Mahwah, N.J.
T2 - 20th Annual Conference of the Cognitive-Science-Society
Y2 - 1 August 1998 through 4 August 1998
ER -