Numerical representations and intuitions of probabilities at 12 months

Ernő Téglás1, Alexandra Ibanez-Lillo, Albert Costa

  • 1Cognitive Development Center, Central European University, Budapest, Hungary.

Developmental Science
|July 22, 2014
PubMed

Insights

Preverbal infants possess sophisticated probability intuitions, understanding unlikely outcomes when object numbers are limited. Their reasoning is constrained by cognitive architecture and numerical representations.

Area of Science:

  • Cognitive Science
  • Developmental Psychology
  • Cognitive Neuroscience

Background:

  • Preverbal infants demonstrate reasoning about single-case probabilities.
  • Infants adapt predictions based on dynamic situational parameters, not just observed frequencies.

Purpose of the Study:

  • Investigate if probability intuitions stem from representing a limited number of possibilities.
  • Examine how numerical representations and cognitive architecture constrain infant probability estimations.

Main Methods:

  • 12-month-old infants observed scenes with moving objects.
  • Infants' looking times were measured for likely versus unlikely single-case outcomes.
  • Stimuli varied in object number and relied on parallel individuation or physical cues.

Main Results:

  • Infants looked longer at unlikely outcomes when object numbers were within the parallel individuation range.
  • This effect diminished with a larger number of objects, even with the same probability ratio.
  • Infants formed rational expectations with large numbers of objects when physical cues were available.

Conclusions:

  • Infant probability intuitions are sophisticated but constrained by numerical representations and cognitive capacity.
  • Early probability reasoning depends on the ability to represent a limited set of possibilities.
  • Developmental constraints on numerical representation impact probabilistic reasoning in infants.

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