What is intelligent behaviour? How do computers recognize faces and objects? In this programme, you will learn how to design and implement intelligent systems.
This Master's programme has a selection procedure. The application deadline is 1 May. For more information about the selection procedure, please check here .
The Master's programme in Artificial Intelligence is made up of five core topics, reflected in the specializations: Machine Learning, Multi-Agent Systems, Robotics, AI Engineering and Hybrid Intelligence. There is also the possibility to follow a Science, Business and Policy Track.
Machine Learning
Automated translation between languages, face recognition,
automated satellite image processing, or self-driving cars are all
based on 'intelligent' computer algorithms. These algorithms are
based on insights obtained in the cognitive and neurosciences on
the one hand and are guided by fundamental principles of
statistics, formal logic and dynamical systems theory on the other
hand.
The courses taught in this specialization cover computational social choice, argumentation between agents, collective intelligence, computational game theory, and dynamic epistemic logics for intelligent interaction.
Multi-Agent Systems
When a team of robots play football they have to communicate and
cooperate with each other. This is an example of multiple agents
acting concurrently; 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.
Robotics
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/domestic robotics, human-robot interaction, and how robots can extend their knowledge over time by interacting with non-expert users.
Hybrid Intelligence
