Russian scientists have taught a neural network to doubt the correctness of their decisions

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2018-03-23 20:00:07

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Russian scientists have taught a neural network to doubt the correctness of their decisions Source:

Scientists from Saratov state technical University named after Y. A. Gagarin (Saratov state technical University) together with their foreign colleagues created neural network can doubt at the moment of decision-making — writes RIA «news» citing the journal of the American Institute of physics.

Having Modeled the uncertainty of choice at the moment of making a brain decision, the developers planned to catch a certain state in the General activity of the brain. To recognize and describe the uncertainty in the moment before it was quite difficult.

To do this, scientists analyzed the methods of artificial intelligence and machine learning signals magnetoencephalogram record the magnetic activity of neural ensembles of the brain.

The brain Signals of each of the volunteers were recorded during a small experiment. People were demonstrated optical illusions. People had to concentrate on the images below then-or how to interpret them. The analysis of the data obtained and studied neural network that learned to recognize and thoroughly oharakterizovat state of uncertainty of human choice making brain decisions.

«moreover, we were able to accurately measure the period of time during which a person varies and can not make a choice», — said Professor Alexander Khramov, one of the study's authors.

The Traditional way of identifying such States of brain activity were quite difficult, but applying artificial intelligence, the scientists were able to achieve success.

Trained «doubt» the neural network can be useful for scientists to create artificial intelligence, able to doubt the correctness of the decision. Before giving the final answer, such AI for a moment stop to think about it. Who knows, maybe in the end, the robots from the future decide not to kill «all people» thanks to this international scientific work?

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