Designing smart tools to solve complex problems.

Artificial Intelligence

Whether in the real-world or in an artificial setting, individuals, groups, and society are often confronted with complex problems that require them to act and react. To make a decision, they have to gather data, evaluate information, and apply this newly found knowledge.

Each of these steps, however, grows increasingly more difficult with the complexity of the problem; each quickly becoming intangible. To overcome this bottleneck, we focus on the design and analysis of intelligent, knowledge-based systems that efficiently tackle all aspects of decision making and aim to support humans or virtual agents.

Our Research

The scope of our research involves different aspects of acquiring, analysing, and applying knowledge:
  • Data Analysis (from Multiple Sources).
  • Complex Networks.
  • Autonomous Agents and Multi-Agent Systems.
  • Agents dealing with Emotion and Social Attitudes.
  • Prediction and Decision Making.

In today’s world, huge amounts of data are created every day from many different sources. And without smart and sophisticated data analysis techniques it would be impossible to interpret, and take advantage of, this vast amount of information we gathered.

As a result, artificial intelligence has been applied to a broad range of applications. In societal problem, like disease control or route planning, intelligent algorithms support human decisions to make a better informed choice or highlight relevant information. In search-engines and on social media sites, artificial intelligence is employed to predict user interests and share personalized content. And in (serious) games, the AI ensures that non-player characters make logical choices and react in a believable way to the environment and the player.

Division of Artificial Intelligence

The division of Artificial Intelligence within the department of Information and Computing Sciences consists of five groups that each tackle challenges in the field of artificial intelligence from their unique perspective:

Research Collaborations

We are always interested in research collaborations on all themes related to artificial intelligence and gathering, analysing, and applying knowledge through computer guided systems. Please contact us if you want to discuss opportunities for collaboration.

Vice Dean
Professor
Professor
Professor
Phone: 030 253 4409
Professor
Phone: 030 253 4113
Professor
Professor
Professor
Professor
Phone: 030 253 4117
Professor
Phone: 030 253 3229
Professor
Professor
Phone: 030 253 4001
Emeritus Professor