Thirty categorization results in search of a model.

By David J. Smith, John Paul Minda. 2000

260 citations recorded by the source corpus.

Subfields: Geometry and Topology, Molecular Biology, Statistics and Probability

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Citations in the corpus

Bias and Generalization in Deep Generative Models: An Empirical Study (2018, neutral): “We call this effect prototype enhancement in analogy with the prototype enhancement effect in cognitive psychology [32, 10].”
Concepts and categories: Memory, meaning, and metaphysics (2012, background): “Some models also combine exemplars and prototypes (e.g., Homa, Sterling, & Trepel, 1981; Minda & Smith, 2001; Smith, Murray, & Minda, 1997; Smith & Minda, 1998, 2000), but it remains controversial whether the addition of prototypes is needed (e.g., Busemeyer, Dewey, & Medin, 1984; Nosofsky &…”
Search strategies in decision making: the success of “success” (2004, background): “It is worth noting here that TTB focuses on the use of binary rather than continuous cues, as indeed do many empirical analyses of multiple-cue judgment (e.g., Castellan, 1974; Castellan & Edgell, 1973) and categorization (e.g., Smith & Minda, 2000; Nosofsky, Palmeri, & McKinley, 1994) (which can ”
Similarity-Dissimilarity Competition in Disjunctive Classification Tasks (2013, background): “Like the 5–4 category structure (Medin and Schaffer, 1978; Smith and Minda, 2000), we hypothesize that this manipulation can operate as a critical benchmark test for categorization models.”
Formal Approaches in Categorization: Prototype models of categorization: basic formulation, predictions, and limitations (2011, methodology): “In fact, one development that came out of that debate was the mixture model (Minda & Smith, 2001; J. D. Smith & Minda, 1998, 2000) that combined a prototype abstraction system with exemplar memorization.”
Concepts as Prototypes (2006, background): “A notable exception to the lack of development of prototype theory has been the work on category learning of Don Homa and colleagues (e.g. Homa, 1984; Homa et al. 1981) and of J. David Smith and Paul Minda (e.g. Smith & Minda, 2000).”
Category use and category learning. (2003, result): “There is considerable debate about the degree to which these models can explain the extant data, but some combination of these three approaches can explain nearly all of the classification data that has been collected to date (Maddox & Ashby, 1993; Nosofsky & Palmeri, 1997; Nosofsky, Palmeri, & McKi”
Generalization and similarity in exemplar models of categorization: Insights from machine learning (2008, methodology): “Also, the experiments by Medin and Schaffer (1978), which are widely seen to provide good evidence for exemplar theories, have been criticized on the grounds that they used only few stimuli and poorly differentiated categories (Smith & Minda, 1998, 2000).”