Principles of Categorization

By Eleanor Rosch. 1978

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Citations in the corpus

THE DEVELOPMENT OF OBJECT CATEGORIZATION IN YOUNG CHILDREN: HIERARCHICAL INCLUSIVENESS, AGE, PERCEPTUAL ATTRIBUTE, AND GROUP VERSUS INDIVIDUAL ANALYSES (2010, methodology): “Stross, B. (1973). Acquisition of botanical terminology by Tzeltal children.”
A mathematical theory of semantic development in deep neural networks (2018, background): “When is a category learned at all, and what determines its coherence? An influential proposal [8,15] suggested that coherent categories consist of tight clusters of items that share many features, and moreover are highly distinct from other categories with different sets of shared features.”
A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. (1997, unknown): “For example, the categorical status of a concept is often assumed to be determined by similarity to a prototype, or to some set of exemplars (e.g., Rosch, 1978; Smith & Medin, 1981 ).”
Two Sides of the Same Coin (2012, background): “Research in cognitive psychology indicates that this is the way people categorize (Rosch, 1978).”
Understanding Context Before Using It (2005, background): “Those two opposite views could be reconciled in a prototype model [15].”
Coach-Athlete Interaction during Elite Archery Competitions: An Application of Methodological Frameworks Used in Ergonomics Research to Sport Psychology (2001, background): “The actors could create links with past experiences in the manner of typical events (Rosch, 1978; Saury et al., 1997), or create new knowledge adapted to the particular characteristics of the situation (Hutchins, 1995).”
Female first, leader second? Gender bias in the encoding of leadership behavior (2006, background): “Categorization theory posits that perceivers rely upon symbolic knowledge structures, called prototypes, to make sense of their environments (Rosch, 1978).”
Mining WordNet for a Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses (2006, background): “This prompted the development of approaches that regard the transition from membership to non-membership in a semantic category as gradual rather than abrupt (Zadeh, 1987; Rosch, 1978).”
DEVELOPING A PROTOCOL FOR THE CONVERSION OF RANK-BASED TAXON NAMES TO PHYLOGENETICALLY DEFINED CLADE NAMES, AS EXEMPLIFIED BY TURTLES (2004, background): “Finally, although no information can be retrieved from the name itself, cognitive efficiency (5 cognitive economy of Rosch, 1978) will be better served over time, because any given name will always refer to the same ancestor regardless of changing ideas about composition (5 circumscription).”
A cognitive approach to urban soundscapes : Using verbal data to access everyday life auditory categories (2006, background): “However, common sense conceptualisations of our environment are not (necessarily) structured along the same principles of categorisation as scientific concepts and knowledge (see [59, 60, 45]) even when they are superficially named by the same words [51].”
Operant variability and voluntary action. (2010, background): “Such responses can readily be organized along a common (or typical or predictable) to uncommon (or atypical or unpredictable) continuum (e.g., Rosch, 1978; Voorspoels, Vanpaemel, & Storms, 2008).”
Paradigm shift to the integrative Big Five trait taxonomy: History, measurement, and conceptual issues. (2008, background): “Natural categories such as the Big Five typically have fuzzy and partially over-lapping definitions (Rosch, 1978), but they can still be extremely useful when defined in terms of prototypical exemplars.”
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks (2016, background): “It has been shown that children who learn a category by looking at more typical samples, later can recognize its members better [ Rosch, 1978 ] .”