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• W1569607427 abstract "A category is a collection of objects or events, and a concept is the mental representation of a category. Connectionist models assume that concept learning involves the development of associative links between mental representations of objects or events and mental representations of categories. These links form the basis of categorization, which is the process of generating the category name that corresponds to a given object. In this article, the basic principles of connectionist models of concept learning are presented, and their empirical and theoretical merits are discussed. The discussion starts with a simple model of concept learning (the delta rule model), which has formed the basis of much research on connectionist models of concept learning. Next, the fundamental problems of the delta rule model are highlighted. Finally, an alternative to the delta rule model is presented." @default.
• W1569607427 created "2016-06-24" @default.
• W1569607427 creator A5008400244 @default.
• W1569607427 date "2015-01-01" @default.
• W1569607427 modified "2023-09-25" @default.
• W1569607427 title "Connectionist Models of Concept Learning" @default.
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• W1569607427 doi "https://doi.org/10.1016/b978-0-08-097086-8.43022-9" @default.
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