At the simplest level, recognition is based on superficial similarity, such as that between a tablespoon and a teaspoon. However, the similarity-based approach to recognition and categorization is incapable of accounting for fuzzy boundaries and different concepts of relative similarity (Robinson-Riegler, 191).
Other forms of similarity-based approaches such as that based on prototypical similarity and exemplars resolve only some of the deficiencies of the classical similarity-based understanding of human recognition (Robinson-Riegler, 200). The essentialist approach, for example, provides a much more comprehensive understanding of the process and roles of concepts and classifications in human recognition because it accounts for the learned context in which recognition occurs (Robinson-Riegler, 200-201).
The classical, prototype, and exemplar explanation for human recognition cannot adequately account for the functional and contextual difference...
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