Infants can learn abstract rules visually: Study

Do not underestimate infants as they are capable of learning patterns from simply looking at the world around them, a first of its kind study has claimed.

According to the researchers, three to four month old infants can successfully detect visual patterns and generalise them to new sequences.

When we learn a rule or pattern in one domain, such as an alternating pattern of lights, we readily abstract this pattern and apply it to another domain. This ability, known as "abstract rule learning," is a signature of human perception and cognition, the researcher said.

"If you present infants with the stimuli in a more appropriate way for the visual system, they can learn abstract rules visually, just as they can from speech," said Brock Ferguson from the Northwestern University in Evanston, Illinois.

For the study, published in the journal PLOS One, researchers examined a group of infants. They showed them patterned sequences of different kinds of dogs.

For example, infants learning an "ABA" pattern might see a picture of an Alaskan malamute (A) followed by a picture of a German shepherd (B), and finally another Alaskan malamute (A). Infants saw several "ABA" sequences, each time with different kinds of dogs.

Then, the researchers presented infants with two new sequences with new kinds of dogs that the infants had not yet seen. The elements in each sequence were identical -- only the pattern in which they were presented differed.

One sequence followed the same ABA pattern (terrier, setter, terrier); the other followed a new AAB pattern (terrier, terrier, setter). Measuring how long the infants looked at each of these two sequences allowed the researchers to gauge their attention.

Although the elements in the AAB and ABA sequences were identical, infants noticed the different patterns. This documents infants' ability to learn abstract rules visually.

The study results indicate that infants are learning such abstract rules through seeing from a very early age, the researchers noted.

--IANS

vc/ksk