Related Experiment Video
Updated: Apr 26, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Numerical representations and intuitions of probabilities at 12 months
Ernő Téglás1, Alexandra Ibanez-Lillo, Albert Costa
1Cognitive Development Center, Central European University, Budapest, Hungary.
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.
Abstract:
Recent research shows that preverbal infants can reason about single-case probabilities without relying on observed frequencies, adapting their predictions to relevant dynamic parameters of the situation (Téglás, Vul, Girotto, Gonzalez, Tenenbaum & Bonatti, ; Téglás, Girotto, Gonzalez & Bonatti, ). Here we show that intuitions of probabilities may derive from the ability to represent a limited number of possibilities. After watching a scene containing moving objects of two ensembles, 12-month-olds looked longer at an unlikely than at a likely single-case outcome when the objects were within the parallel individuation range. However, they did not do so when the scene contained the same ratio between ensembles but a larger number of objects. At the same time, they could form rational expectations about single-case outcomes in scenes containing the same large number of objects when they could exploit subtle physical parameters induced by the objects' movements and their spatial configuration. Our findings demonstrate that at early stages of development the mental representations involved in probability estimations of future individual situations are powerful and sophisticated, but at the same time they depend on infants' overall cognitive architecture, being constrained by the numerical representations spontaneously induced by the situations.
Related Concept Videos
Binomial Probability Distribution
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
Probability in Statistics
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Probability Histograms
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Probability Distributions
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
Probability Laws

