38 minutes ago by Catharina Jerkbrant

The computer programmes used in the field of artificial intelligence (AI) are highly specialised. They can for example fly airplanes, play chess or assemble cars in controlled industrial environments. However, a research team from Gothenburg, Sweden, has now been able to create an AI programme that can learn how to solve problems in many different areas. The programme is designed to imitate certain aspects of children's cognitive development.

Traditional AI programmes lack the versatility and adaptability of human intelligence. For example, they cannot come into a new home and cook, clean and do laundry.

In artificial general intelligence (AGI), which is a new field within AI, scientists try to create computer programmes with a generalised type of intelligence, enabling them to solve problems in vastly different areas. Gothenburg has a leading research team in this domain. In August, 'exceptional contributions to the AGI field' earned a team of researchers from the University of Gothenburg and Chalmers University of Technology the Kurzweil Prize for the second straight year.

No pre-existing knowledge

'We have developed a programme that can learn for example basic arithmetic, logic and grammar without any pre-existing knowledge,' says Claes Strannegrd, a member of the research team together with Abdul Rahim Nizamani and Ulf Persson.

The best example of general intelligence that we know of today is the human brain, and the scientists' strategy has been to imitate, at a very fundamental level, how children develop intelligence. Children can learn a wide range of things. They build new knowledge based on previous knowledge and they can use their total knowledge to draw new conclusions. This is exactly what the scientists wanted their programme to be able to do.

Children learn based on experience

'We postulate that children learn everything based on experiences and that they are always looking for general patterns,' says Strannegrd.

A child who for example is learning multiplication and who knows that 2 x 0 = 0 and 3 x 0 = 0 can identify a pattern and conclude that also 17 x 0 = 0. However, sometimes this method backfires. If the child knows that 0 x 0 = 0 and 1 x 1 = 1, he or she can incorrectly conclude that 2 x 2 = 2. As soon as the child realises that a certain pattern can lead to incorrect conclusions, he or she can simply stop applying it.

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Artificial intelligence that imitates children's learning