What is intelligent behaviour? How can computers recognize faces and objects? In this programme you will learn how to design and implement intelligent systems.
The core topics in the Master's programme Artificial
Intelligence are: autonomous perceptive systems, cognitive robotics
and multi-agent systems.
A robot taking samples and collecting information on the moon is an example of an autonomous system. It operates and carries out missions independently. Regardless of its surroundings, it responds with a certain intelligence. While traditional AI focuses on cognition and reasoning as isolated abilities, we strongly believe in perception as an active behaviour, which is integrated into general cognition.
The courses taught in the area of cognitive robotics are related to research in social robotics, to the origin of robotic communication and to the way in which robots recognize movement. Research is conducted at the Artificial Intelligence and Cognitive Engineering Institute.
When a team of robots play football they have to communicate and cooperate with each other. This is an example of a multi-agent system. When designing these systems, techniques from computing science and logic are combined with knowledge about the interaction amongst humans and animals.
How humans learn new tasks
After doing her master's project in the USA, Trudy wanted to continue to work on the edge of knowledge. She ended up back in Groningen for a PhD project about the transfer of cognitive skills. She builds computer models which show how humans learn new tasks and tests them by comparing them to, for example, test scores or brain activity. Using her models we can learn more about how your brain uses what you already know to learn something new.
Using my knowledge in my future work
'I came to Groningen for the Master's degree in Artificial Intelligence because of the practical approach: half of the courses I followed involved practical cases, which form a big part of each course.
This works perfect for me because we are given the chance to immediately test and play with all the knowledge which is handed to us. This approach boosts the learning of a subject. It is great to have the opportunity to discover and deepen the understanding of a concept thanks to a supervised project.
I particularly focused my courses on robotics. Thanks to the Alice Robotics department I had the opportunity to use the robots of the Robolab, with which I did many projects.
Coming close to the end of my Master’s degree, I will probably start working in a robotic-related company. Autonomous navigation systems has always been one of my particular interests, and after the possibility to study and practice those systems in the Robolab, I'm looking forward to using my knowledge in my future work.’