Categorization and naming in children

By Ellen M. Markman. 1989

Subfields: Cognitive Science & Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Science & Psychology

Citations in the corpus

What can the brain teach us about building artificial intelligence? (2016, background): “A similar sentiment was expressed by Minsky (1974): “I draw no boundary between a theory of human thinking and a scheme for making an intelligent machine; no purpose would be served by separating these today since neither domain has theories good enough to explain—or to produce—enough mental capacit”
The Emergence of Organizing Structure in Conceptual Representation (2016, background): “While learning the names for objects, children tend to learn just one name per object, but they must later discover that names can be organized in a taxonomy (Markman, 1989).”
A Probabilistic Computational Model of Cross-Situational Word Learning (2010, methodology): “Assuming as prior knowledge a probabilistic version of the basic-level category bias (Rosch et al., 1976; Markman, 1989), Xu and Tenenbaum’s model learns appropriate category names for exemplar objects by revising the prior bias through incorporating the statistical structure of the observed example”
Object Naming and Later Lexical Development: From Baby Bottle to Beer Bottle. (2008, background): “Finally, the principle of novel name-nameless category (N3C) biases the child to map a novel word onto a nameless object referent, rather than onto an already named object (Clark, 1983; Markman, 1989).”
The Basis of Epistemic Trust: Reliable Testimony or Reliable Sources? (2007, background): “…a new object in a laboratory setting, labels it with an unknown name and infants show no signs of mistrusting the speaker but instead, seem to accept and readily learn the label (Baldwin 1993; Bloom 2000; Golinkoff, Mervis, & HirshPasek 1995; Markman 1989; Woodward, Markman & Fitzsimmons 1994).”
Human-level concept learning through probabilistic program induction (2015, methodology): “= ∫ P (I(2)|θ(2))P (θ(2)|ψ)P (θ((1)), ψ|I(1)) d(ψ, θ((1))) ≈ ∫ P (I(2)|θ(2))P (θ(2)|ψ)Q(θ(1), ψ, I((1))) d(ψ, θ((1))) = ∑K i=1 ∑N j=1 wi N P (I(2)|θ(2))P (θ(2)|ψ[ij]).”
Referential communication and category acquisition. (1998, background): “Typically, labels are extended on the basis of some kind of similarity, such as perceptual similarity, functional similarity , or both (Landau, Smith, & Jones, 1988, 1992; E. M. Markman, 1989).”
Do young children think of television images as pictures or real objects (1990, background): “, "cat" as well as "kitty") (Markman, 1989); (5) the same person may be represented as simultaneously occupying more than one social role (e.”
Word learning as Bayesian inference. (2007, background): “These inferences may provide one means by which people can acquire words for concepts at multiple levels of an object-kind hierarchy (subordinate, basic, and superordinate)— traditionally considered a critical challenge of early word learning (e.g., Markman, 1989; Waxman, 1990).”
Scholarship, Research, and Creative Work at Bryn Mawr College Scholarship, Research, and Creative Work at Bryn Mawr College (result): “For the specialist, its bibliography alone would be essential, which commendably comprises both Italian and foreign titles, in contrast to the many publications that seem to consider only works in their own language or in the authoritative German.”
Artifacts are not ascribed essences, nor are they treated as belonging to kinds (2003, methodology): “The two domains differ in central tendency, but they overlap (Keil, 1989; Markman, 1989).”
The Innate Mind: Structure and Contents (2005, background): “If meaning were unconstrained and indeterminate, this process could not take place (see e.g., Markman, 1989; Sperber, 1996; Sperber & Wilson, 1995; Tooby & Cosmides, 1992a).”
Category use and category learning. (2003, background): “Much of this work has explored how features known to be true of one category can be carried over to other related categories (Gelman & Markman, 1986; Heit & Rubinstein, 1994; E. M. Markman, 1989; Osherson, Smith, Wilkie, Lopez, & Shafir, 1990).”
One-shot learning by inverting a compositional causal process (2013, background): “These new larger datasets have developed along with larger and “deeper” model architectures, and while performance has steadily (and even spectacularly [15]) improved in this big data setting, it is unknown how this progress translates to the “one-shot” setting that is a hallmark of human learning [”
Meaning and compositionality as statistical induction of categories and constraints (2009, background): “XT’s implementation included constraints proposed by Markman (1989) for learning object category names – that words are hypothesized to refer to whole objects (rather than, e.”