- 15th May 2018
- Posted by: Manolis
- Category: Blockchain
LONDON, May 14 (Xinhua) — Scientists have found ways for artificial intelligence (AI) to create navigational ability.
An artificial agent was developed to approximate grid cells, a type of neuron in the brains of many mammal species that allows them to understand their position in space, according to a research report published last week in the journal Nature.
By combining an artificial recurrent network with a larger network architecture, an agent was formed with a deep reinforcement learning ability to navigate itself to goals in challenging virtual reality game environments.
“This agent performed at a super-human level … exhibited the type of flexible navigation normally associated with animals,” said scientists at the London-headquartered Deepmind.
The study tested the theory that grid cells support vector-based navigation, enabling the mammalian brain to calculate the distance and direction to a desired destination.
The results also reflect the philosophy that algorithms used for AI can meaningfully approximate elements of the brain.
“In the future such networks may well provide a new way for scientists to conduct ‘experiments’, suggesting new theories and even complementing some of the work that is currently conducted in animals,” according to Deepmind scientists.