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- W4366495071 abstract "This chapter provides an overview of approaches to formal modeling in the domain of categorization. The core psychological processes addressed by models are: generating a classification decision in response to a stimulus and constructing category representations based on supervised experience. A taxonomy is provided that organizes the formal models in terms of their use of a fixed, combined, or constructed approach to predicting categories under either a cue-based or item-based framework. The chapter gives in-depth coverage of a leading approach (exemplar models) as well as an emerging alternative: a constructed cue-based model (DIVA) that differs from competing accounts by learning to reconstruct the input features via sets of category-specific weights and using the degree of reconstructive success (i.e., goodness-of-fit to the category) to determine the likelihood of membership." @default.
- W4366495071 created "2023-04-22" @default.
- W4366495071 creator A5002456837 @default.
- W4366495071 date "2023-05-11" @default.
- W4366495071 modified "2023-09-23" @default.
- W4366495071 title "Computational Models of Categorization" @default.
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- W4366495071 doi "https://doi.org/10.1017/9781108755610.015" @default.
- W4366495071 hasPublicationYear "2023" @default.
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