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date: 17 June 2021

Abstract and Keywords

People have a remarkable ability to acquire categories, whether they are defined over internal features (e.g., shape) or conceptual relations (e.g., predator/prey). Models have played a prominent role in shaping our understanding of human category learning. Accordingly, proposed mechanisms are diverse, including rule-, prototype-, and exemplar-based models, as well as hybrid models and models that contain multiple systems. One general trend is toward models with increasingly sophisticated processing mechanisms that can mimic the behaviors of existing models, as well as address behaviors outside the scope of previous models. This chapter considers what these various models reveal about the nature of human categorization.

Keywords: categorization, learning, rules, prototypes, exemplars, clusters, analogy, similarity

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