“…As an area of research, category representation has been strongly associated with formal mathematical modeling, which has allowed precise comparisons of various hypothesized representations. Although a lot of recent categorization research has focused on the need for models with more elaborate, mixed representations (Ashby, Alfonso-Reese, Turken, & Waldron, 1998;Erickson & Kruschke, 1998;Love, Medin, & Gureckis, 2004;, simple exemplar, prototype, and rule-based representations continue to be considered relevant, particularly in the context of research emphasizing different types of category learning and use (Markman & Ross, 2003;Yamauchi & Markman, 1998). Exemplar models have been widely shown to provide a better account of perceptual category learning than prototype or simple rule models (e.g., Medin & Schaffer, 1978;Medin & Schwanenflugel, 1981;Nosofsky, 1992).…”