A Constructivist Neural Network Learns the Past Tense of English Verbs
نویسنده
چکیده
A constructivist neural network is presented that models the acquisition of the past tense of English verbs. The network constructs its architecture in response to the learning task, corresponding to neurobiological and psychological evidence. The model outperforms other connectionist and symbolic models in learning and in displaying psychologically realistic learning and generalization behavior. It is argued that the success of the network is due to its constructivist nature, and that the distinction between fixed architecture and constructivist models is fundamental. Given this distinction, constructivist systems constitute better models of cognitive development.
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