Computer Science & AI
Media & interaction
Media & interaction is where artificial intelligence and machine learning meet philosophy, cognitive science, and the creative arts. Examples of research questions in this domain are: 'Can an algorithm be creative by human standards?', 'Can creative processes, such as composing music or writing poetry, be modelled?', and 'How can algorithms optimally support human creativity?'
[a]social creatures lab
The [a]social creatures lab focusses on understanding social interaction with and between artificial creatures. Research on social interaction with artificial creatures is typically performed with anthropomorphic robots that have human characteristics, such as speech, emotions, gestures and other nonverbal behaviors. The group studies the boundaries of what social interaction with artificial creatures means by varying form, complexity and function including humanoids, abstractly shaped robots, intelligent virtual agents, avatars, non-playing characters, conversational agents and swarm robots. To understand the role of robots in society, they also investigate less favorable impact of human robot relationships on people and the society of the future.
Creative Intelligence Lab (CIL)
The Creative Intelligence Lab is an interdisciplinary place which connects researchers with different backgrounds across the cognitive and computer sciences. The main shared interest is in the foundations of intelligence, both 'in carbo' and 'in silico', and researched using methods from various fields including AI, linguistics, the arts and psychology. The group focuses on precisely those aspects of human intelligence that we still find hard to grasp in AI such as creativity, curiosity, emotion, culture, language, art and intentional reasoning (a.k.a. mindreading or Theory of Mind). They recognize playfulness and creativity as key factors in scientific innovation and encourage alternative research output besides academic papers, such as physical installations, exhibitions, and public events.
More information about the Creative Intelligence Lab
The Games group at LIACS aims at advancing the state of computational approaches for assisting design, playing and analyzing games, nowadays mostly seen as Game AI approaches. Their interests focus on procedural content generation (PCG), especially facet orchestration, team AI (AI/human and AI/AI collaboration) and negotiation in games, realtime strategy games (RTS), game balancing and difficulty adaptation, Monte Carlo tree search and its recombination with deep learning, evolutionary methods for mixed-initiative design and automated playtesting, application of Game AI methods to other fields, in particular to Chemistry problems. They maintain close connections to the Dutch and international Game research communities and are open for collaborations with game researchers and companies.