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date: 09 December 2019

Abstract and Keywords

This chapter evaluates the case for treating concepts as causal models, the view that people conceive of a categories as consisting of not only features but also the causal relations that link those features. In particular, it reviews the role of causal models in categorization, the process of inferring an object’s category membership by observing its features. Reviewed studies include those testing categories that are either real world or artificial (made up of the experimenters) and subjects that are either adults or children. The chapter concludes that causal models provide accounts of causal-based categorization judgments that are superior to alternative accounts.

Keywords: causal model, categorization, real world, testing, category

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