Most research into the Artificial Intelligence (AI) that underpins any form of intelligent machine-machine or machine-human interaction has centred on programming the machine with a set of predefined rules. Researchers have, in effect, attempted to build robots or devices with the communication skills of a human adult. That is a shortcut that ignores the evolution of language and the skills gained from social interaction, thereby limiting the ability of AI devices to react to stimuli to within a fixed set of parameters.
But a team of researchers led by the Institute of Cognitive Science and Technology in Italy are taking a new approach to the problem, developing technology to allow machines to evolve their own language from their experiences of interacting with their environment and cooperating with other devices.
“The result is machines that evolve and develop by themselves without human intervention,” explains Stefano Nolfi, the coordinator the ECAgents project, which, with financing from the European Commission’s Future and Emerging Technologies (FET) initiative, has brought together researchers from disciplines as diverse as robotics, linguistics and biology.
The technology, dubbed Embedded and Communicating Agents, has allowed researchers at Sony’s Computer Science Laboratory in France, for example, to add a new level of intelligence to the AIBO dog. Instead of teaching the dog new tricks, the algorithms, design principles and mechanisms developed by the project allow the robotic pet to learn new tricks itself and share its knowledge with others.
“What has been achieved at Sony shows that the technology gives the robot the ability to develop its own language with which to describe its environment and interact with other AIBOs – it sees a ball and it can tell another one where the ball is, if it’s moving and what colour it is, and the other is capable of recognising it,” Nolfi says.
The most important aspect, however, is how it learns to communicate and interact. Whereas we humans use the word ‘ball’ to refer to a ball, the AIBO dogs start from scratch to develop common agreement on a word to use to refer the ball. They also develop the language structures to express, for instance, that the ball is rolling to the left. This, the researchers achieved through instilling their robots with a sense of ‘curiosity.’
Initially programmed to merely recognise stimuli from their sensors, the AIBOs learnt to distinguish between objects and how to interact with them over the course of several hours or days. The curiosity system, or ‘metabrain,’ continually forced the AIBOs to look for new and more challenging tasks, and to give up on activities that did not appear to lead anywhere. This in turn led them to learn how to perform more complex tasks – an indication of an open-ended learning capability much like that of human children.
And also like children the AIBOs initially started babbling aimlessly until two or more settled on a sound to describe an object or aspect of their environment, thus gradually building a lexicon and grammatical rules through which to communicate.
“This is not only important from a robotics and AI perspective, it could also help us understand how language systems arise in humans and animals,” Nolfi notes.
The success of the evolutionary and social learning approach taken to developing AI by the project has also been demonstrated in other trials.
In tests run at the Swiss Federal Institute of Technology in Lausanne hordes of small wheeled robots learnt how to communicate, cooperate and self-organise to perform tasks that would be too complicated for a single robot.
“The technology could lead to robots able to carry out rescue operations by swarming over inaccessible areas to find people,” Nolfi says.
“This is a project with a big impact. We’ve managed to ground AI in reality, in the real world, solving one of the crucial problems to creating truly intelligent and cooperative systems,” he says.
NASA CubeSat to test miniaturized weather satellite technology
10.11.2017 | NASA/Goddard Space Flight Center
New approach uses light instead of robots to assemble electronic components
08.11.2017 | The Optical Society
The formation of stars in distant galaxies is still largely unexplored. For the first time, astron-omers at the University of Geneva have now been able to closely observe a star system six billion light-years away. In doing so, they are confirming earlier simulations made by the University of Zurich. One special effect is made possible by the multiple reflections of images that run through the cosmos like a snake.
Today, astronomers have a pretty accurate idea of how stars were formed in the recent cosmic past. But do these laws also apply to older galaxies? For around a...
Just because someone is smart and well-motivated doesn't mean he or she can learn the visual skills needed to excel at tasks like matching fingerprints, interpreting medical X-rays, keeping track of aircraft on radar displays or forensic face matching.
That is the implication of a new study which shows for the first time that there is a broad range of differences in people's visual ability and that these...
Computer Tomography (CT) is a standard procedure in hospitals, but so far, the technology has not been suitable for imaging extremely small objects. In PNAS, a team from the Technical University of Munich (TUM) describes a Nano-CT device that creates three-dimensional x-ray images at resolutions up to 100 nanometers. The first test application: Together with colleagues from the University of Kassel and Helmholtz-Zentrum Geesthacht the researchers analyzed the locomotory system of a velvet worm.
During a CT analysis, the object under investigation is x-rayed and a detector measures the respective amount of radiation absorbed from various angles....
The quantum world is fragile; error correction codes are needed to protect the information stored in a quantum object from the deteriorating effects of noise. Quantum physicists in Innsbruck have developed a protocol to pass quantum information between differently encoded building blocks of a future quantum computer, such as processors and memories. Scientists may use this protocol in the future to build a data bus for quantum computers. The researchers have published their work in the journal Nature Communications.
Future quantum computers will be able to solve problems where conventional computers fail today. We are still far away from any large-scale implementation,...
Pillared graphene would transfer heat better if the theoretical material had a few asymmetric junctions that caused wrinkles, according to Rice University...
15.11.2017 | Event News
15.11.2017 | Event News
30.10.2017 | Event News
17.11.2017 | Physics and Astronomy
17.11.2017 | Health and Medicine
17.11.2017 | Studies and Analyses