The computer programs 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 program that can learn how to solve problems in many different areas. The program is designed to imitate certain aspects of children’s cognitive development.
Traditional AI programs 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 programs 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.
‘We have developed a program that can learn for example basic arithmetic, logic and grammar without any pre-existing knowledge,’ says Claes Strannegård, 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 program to be able to do.
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