25 'golden age' when humans outsmart computers: study

Image
Press Trust of India London
Last Updated : Apr 14 2017 | 1:57 PM IST
Twenty-five, on average, is the golden age when humans can outsmart computers in generating seemingly random patterns, according to a new study.
People's ability to make random choices or mimic a random process, such as coming up with hypothetical results for a series of coin flips, peaks around age 25, said researchers at Algorithmic Nature Group, LABORES for the Natural and Digital Sciences in Paris.
Scientists believe that the ability to behave in a way that appears random arises from some of the most highly developed cognitive processes in humans, and may be connected to abilities such as human creativity.
Previous studies have shown that ageing diminishes a person's ability to behave randomly.
However, it had been unclear how this ability evolves over a person's lifetime, nor had it been possible to assess the ways in which humans may behave randomly beyond simple statistical tests.
To better understand how age impacts random behaviour, researcher Nicolas Gauvrit and colleagues assessed more than 3,400 people aged 4 to 91 years old.
Each participant performed a series of online tasks that assessed their ability to behave randomly.
The five tasks included listing the hypothetical results of a series of 12 coin flips so that they would "look random to somebody else," guessing which card would appear when selected from a randomly shuffled deck, and listing the hypothetical results of 10 rolls of a die - "the kind of sequence you would get if you really rolled a die."
The scientists analysed the participants' choices according to their algorithmic randomness, which is based on the idea that patterns that are more random are harder to summarise mathematically.
After controlling for characteristics such as gender, language, and education, they found that age was the only factor that affected the ability to behave randomly. This ability peaked at age 25, on average, and declined from then on.
"This experiment is a kind of reverse Turing test for random behaviour, a test of strength between algorithms and humans," said Hector Zenil, co-author of the study published in the journal PLOS Computational Biology.
"25 is, on average, the golden age when humans best outsmart computers," said Gauvrit.
The study also demonstrated that a relatively short list of choices, say 10 hypothetical coin flips, can be used to reliably gauge randomness of human behaviour.
The researchers are now using a similar approach to study potential connections between the ability to behave randomly and such things as cognitive decline and neurodegenerative diseases.

Disclaimer: No Business Standard Journalist was involved in creation of this content

*Subscribe to Business Standard digital and get complimentary access to The New York Times

Smart Quarterly

₹900

3 Months

₹300/Month

SAVE 25%

Smart Essential

₹2,700

1 Year

₹225/Month

SAVE 46%
*Complimentary New York Times access for the 2nd year will be given after 12 months

Super Saver

₹3,900

2 Years

₹162/Month

Subscribe

Renews automatically, cancel anytime

Here’s what’s included in our digital subscription plans

Exclusive premium stories online

  • Over 30 premium stories daily, handpicked by our editors

Complimentary Access to The New York Times

  • News, Games, Cooking, Audio, Wirecutter & The Athletic

Business Standard Epaper

  • Digital replica of our daily newspaper — with options to read, save, and share

Curated Newsletters

  • Insights on markets, finance, politics, tech, and more delivered to your inbox

Market Analysis & Investment Insights

  • In-depth market analysis & insights with access to The Smart Investor

Archives

  • Repository of articles and publications dating back to 1997

Ad-free Reading

  • Uninterrupted reading experience with no advertisements

Seamless Access Across All Devices

  • Access Business Standard across devices — mobile, tablet, or PC, via web or app

More From This Section

First Published: Apr 14 2017 | 1:57 PM IST

Next Story