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.
Claes Strannegård, Associate Professor, University of Gothenburg
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.
No pre-existing knowledge
‘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.
Children learn based on experience
‘We postulate that children learn everything based on experiences and that they are always looking for general patterns,’ says Strannegård.
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.
The child can in this way create a large number of patterns not only in mathematics but also in other areas such as logic and grammar. The patterns in a certain area can then be combined with each other and make it possible to solve entirely new problems. The programme developed by the Gothenburg scientists works in a similar manner. It can identify patterns by itself and therefore differs from programmes where a programmer has to formulate which rules the programme should apply.
‘We are hoping that this type of programme will eventually be useful in several different practical applications. Personally, I think a versatile household robot would be tremendously valuable, but we’re not there yet,’ says Strannegård.
The research team:
Claes Strannegård, Associate Professor at the Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg, and at the Department of Applied Information Technology, Chalmers University of Technology
Abdul Rahim Nizamani, doctoral student at the Department of Applied Information Technology, University of Gothenburg
Ulf Persson, Professor at the Department of Mathematical Sciences, Chalmers University of Technology
Claes Strannegård, tel. +46 (0)707 527869, e-mail email@example.com
Henrik Axlid | idw - Informationsdienst Wissenschaft
'Building up' stretchable electronics to be as multipurpose as your smartphone
14.08.2018 | University of California - San Diego
New interactive machine learning tool makes car designs more aerodynamic
14.08.2018 | Institute of Science and Technology Austria
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
Scientists have discovered that the electrical resistance of a copper-oxide compound depends on the magnetic field in a very unusual way -- a finding that could help direct the search for materials that can perfectly conduct electricity at room temperatur
What happens when really powerful magnets--capable of producing magnetic fields nearly two million times stronger than Earth's--are applied to materials that...
08.08.2018 | Event News
27.07.2018 | Event News
25.07.2018 | Event News
15.08.2018 | Physics and Astronomy
15.08.2018 | Earth Sciences
15.08.2018 | Physics and Astronomy