Categorization by a connectionist network.

David R. Shanks

91 citations0/0 files storedJournal of Experimental Psychology Learning Memory and Cognition

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Categorization, perception, and language Neural Networks and Applications Cognitive Science and Education Research

Abstract

Three experiments tested a simple connectionist network approach to human categorization. The experiments used a simulated medical diagnosis procedure

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References

1977Features of similarity.1975Family resemblances: Studies in the internal structure of categories 1989A distributed, developmental model of word recognition and naming.1978Context theory of classification learning.1986Attention, similarity, and the identification-categorization relationship.1981Categories and Concepts 1972Pattern recognition and categorization 1988From conditioning to category learning: An adaptive network model.

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2007The divergent autoencoder (DIVA) model of category learning 1993Separating Causal Laws from Casual Facts: Pressing the Limits of Statistical Relevance 1998The Development of Spelling-Sound Relationships in a Model of Phonological Reading 2001Expanding the search for a linear separability constraint on category learning 1992Investigations of an Exemplar-Based Connectionist Model of Category Learning 1992Connectionist Accounts of the Inverse Base-rate Effect in Categorization

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