The segregation of items into categories by ten-month-old infants.

2 experiments were conducted investigating infants' use of structural relations (i.e., correlated attribute values) in dividing or segregating items into categories. Rosch argued that attribute values do not occur in all possible combinations in the real world. Even though values of attributes may vary continuously across objects, some combinations are more likely to occur than others, forming breaks or discontinuities between clusters of correlated values. Within a well-controlled laboratory context, using artificial categories and a standard infant-recognition memory procedure, the present experiments demonstrated 10-month-old infants' sensitivity to structural information like that proposed by Rosch to exist in the real world, and their ability to segregate items into categories on the basis of clusters of correlated attribute values.

[1]  B. J. Winer.  Statistical Principles in Experimental Design , 1992 .

[2]  M. Posner,et al.  On the genesis of abstract ideas. , 1968, Journal of experimental psychology.

[3]  P. G. Neumann.  An attribute frequency model for the abstraction of prototypes , 1974, Memory & cognition.

[4]  Wayne D. Gray,et al.  Basic objects in natural categories , 1976, Cognitive Psychology.

[5]  J. Fagan.  Infants' recognition of invariant features of faces , 1976 .

[6]  Eleanor Rosch,et al.  Principles of Categorization , 1978 .

[7]  E. Rosch,et al.  Cognition and Categorization , 1980 .

[8]  M. Strauss,et al.  Abstraction of prototypical information by adults and 10-month-old infants. , 1979, Journal of experimental psychology. Human learning and memory.

[9]  L. Cohen,et al.  Concept acquisition in the human infant. , 1979, Child development.

[10]  L. Cohen,et al.  Infant perception of correlations among attributes. , 1983, Child development.

[11]  Edward E. Smith,et al.  Correlated properties in natural categories , 1984 .

[12]  Barbara A. Younger,et al.  How Infants form Categories , 1985 .

[13]  Douglas L. Medin,et al.  Structural Principles in Categorization , 2019, Perception, Cognition, and Development.