What Did Science Say Will Make Babies Smart
People often wonder if computers make children smarter. Scientists at the University of California, Berkeley, are asking the contrary question: Tin children make computers smarter? And the reply appears to be 'yes.'
(Video produced by Roxanne Makasdjian, Media Relations)
UC Berkeley researchers are tapping the cognitive smarts of babies, toddlers and preschoolers to program computers to think more than like humans.
If replicated in machines, the computational models based on baby brainpower could requite a major boost to bogus intelligence, which historically has had difficulty treatment nuances and uncertainty, researchers said
"Children are the greatest learning machines in the universe. Imagine if computers could larn as much and equally apace as they exercise," said Alison Gopnik a developmental psychologist at UC Berkeley and author of "The Scientist in the Crib" and "The Philosophical Baby."
In a wide range of experiments involving lollipops, flashing and spinning toys, and music makers, among other props, UC Berkeley researchers are finding that children – at younger and younger ages – are testing hypotheses, detecting statistical patterns and cartoon conclusions while constantly adapting to changes.
"Young children are capable of solving problems that still pose a claiming for computers, such as learning languages and figuring out causal relationships," said Tom Griffiths, director of UC Berkeley'south Computational Cognitive Science Lab. "We are hoping to make computers smarter by making them a fiddling more than like children."
For example, researchers said, computers programmed with kids' cognitive smarts could interact more intelligently and responsively with humans in applications such as calculator tutoring programs and phone-answering robots.
And that's not all.
"Your computer could be able to find causal relationships, ranging from simple cases such as recognizing that you piece of work more slowly when you haven't had coffee, to complex ones such as identifying which genes cause greater susceptibility to diseases," said Griffiths. He is applying a statistical method known equally Bayesian probability theory to translate the calculations that children make during learning tasks into computational models.
This leap, to consolidate their growing torso of piece of work on baby, toddler and preschooler cognition, Gopnik, Griffiths and other UC Berkeley psychologists, computer scientists and philosophers volition launch a multidisciplinary eye at the campus's Institute of Man Development to pursue this line of research.
Scientists are borer the brains of children, who think like young scientists, to amend artificial intelligence
Exploration key to developing young brains
A growing body of child cognition enquiry at UC Berkeley suggests that parents and educators put aside the wink cards, electronic learning games and rote-retentiveness tasks and ready kids free to detect and investigate.
"Spontaneous and 'pretend play' is just as important as reading and writing drills," Gopnik said.
Of all the primates, Gopnik said, humans take the longest childhoods, and this extended menses of nurturing, learning and exploration is central to human survival. The healthy newborn brain contains a lifetime's supply of some 100 billion neurons, each of which goes on to grow a vast network of synapses or neural connections – near 15,000 by the age of 2 or 3 – that enable children to acquire languages, go socialized and figure out how to survive and thrive in their environment.
Adults, meanwhile, stop using their powers of imagination and hypothetical reasoning as they focus on what is virtually relevant to their goals, Gopnik said. The combination of goal-minded adults and open up-minded children is ideal for pedagogy computers new tricks.
"We demand both blue-sky speculation and hard-nosed planning," Gopnik said. Researchers aim to reach this symbiosis by tracking and making computational models of the cerebral steps that children take to solve bug in the following and other experiments.
Calculating the lollipop odds
In UC Berkeley psychologist Fei Xu's Infant Cognition and Language Lab, pre-verbal babies are tested to see if they can effigy out the odds of getting the colour of lollipop they desire based on the proportions of black and pink lollipops they can see in two separate jars. 1 jar holds more pink lollipops than black ones, and the other holds more black than pinkish.
After the baby sees the ratio of pink to black lollipops in each jar, a lollipop from each jar is covered, and then the color is hidden, so removed and placed in a covered canister next to the jar. The baby is invited to accept a lollipop and, in most cases, crawls towards the canister closest to the jar that held more pink lollipops.
"We recall babies are making calculations in their heads about which side to crawl to, to get the lollipop that they want," Xu said.
The importance of pretend play
Gopnik is studying the "golden historic period of pretending," which typically happens between ages 2 and 5, when children create and inhabit alternate universes. In one of her experiments, preschoolers sing "Happy Altogether" whenever a toy monkey appears and a music player is switched on. When the music histrion is suddenly removed, preschoolers swiftly adapt to the change by using a wooden block to replace the music role player and then the fun game tin can continue.
Before experiments past Gopnik — including ane in which she makes facial expressions while tasting dissimilar kinds of foods to run across if toddlers tin option up on her preferences — challenge common assumptions that immature children are self-centered and lack empathy, said Gopnik, and signal that, at an early historic period, they can place themselves in other people's shoes.
Inquiry indicates that babies exercise about of their learning as they "play"
Preschoolers take new evidence into business relationship
UC Berkeley psychologists Tania Lombrozo and Elizabeth Bonawitz are finding that preschoolers don't necessarily go with the simplest explanation, particularly when presented with new evidence. In an experiment conducted at Berkeley and the Massachusetts Establish of Engineering, preschoolers were shown a toy that lit up and spun around. They were told that a red block fabricated the toy light up, a green ane made it spin and a blue one could practice both.
Information technology would have been easiest to assume the blue block was activating the toy when it simultaneously spun and lit upwardly. Only when the preschoolers saw in that location were very few blue blocks compared to ruddy and dark-green ones, many of them calculated the odds and decided that a combination of red and greenish blocks was causing the toy to spin and light upwardly at the same time, which is an appropriate answer.
"In other words, children went with simplicity when in that location wasn't stiff testify for an alternative, but as evidence accumulated, they followed its lead," Lombrozo said. Like the children in the study, computers would also do good from looking at new possibilities for cause and effect based on changing odds.
Overall, the UC Berkeley researchers say they will apply what they take learned from the exploratory and "probabilistic" reasoning demonstrated by the youngsters in these and other experiments to brand computers smarter, more than adaptable — and more than human.
Source: https://news.berkeley.edu/2012/03/12/babyeinsteins/
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