Research Center for Cognitive Science and Artificial Intelligence

A main activity of the research unit is the programming and building of robots, simulations, and games that exhibit a considerable degree of autonomous decision making. We study the behavior of these systems in real or simulated environments in interaction with a human user. To improve their performance, we make use of data gathered through smart phones and sensor technology.

1. E-health Innovations with Cognitive Neuroscience & AI
   Principal Investigator: Dr. Elisabeth Huis in ‘t Veld
2. AI for Robotics (AIR-Lab)
   Principal Investigators: Dr. Murat Kirtay, Dr. Giacomo Spigler
3. Computational Modelling of Health & Well-being Data
   Principal Investigator: Dr. Drew Hendrickson
4. Virtual Interactive Environments for Human Improvement
   Principal Investigators: Dr. Michal Klincewicz, Dr. Paris Mavromoustakos Blom, Dr. Ifigeneia Mavridou, Dr. Phillip Brown

The introduction of deep learning in society requires a careful calibration of human and machine decision making in contexts hallmarked by a high degree of complexity and uncertainty. In our research we study generative models of perception. We also address transparency and explainability of deep learning models, in combination with techniques designed to reduce complexity of deep learning architectures.

1. Deep Learning for Medical Image Data
   Principal Investigator: Dr. Sharon Ong
2. Tilburg Algorithm Observatory
   Principal Investigator: Dr. Henry Brighton
3. AI for Nature and Environment
   Principal Investigator: Dr. Dan Stowell
4. Vision and Imaging Data Analytics
   Principal Investigator: Dr. Koen Haak

Research in the Computational Linguistics and Psycholinguistics group mainly relies on statistical machine learning and (hierarchical) Bayesian modelling, as well as advanced deep neural models for processing linguistic and visual data. A number of research projects attempt to improve our understanding of human cognition by building formal and computational models of human language acquisition and use. Knowledge of how humans process language is in turn used to develop better applied systems and general-purpose tools and techniques for processing large collections of linguistic and extralinguistic data.

1. Multimodal Language Learning
   Principal Investigator: Dr. Grzegorz Chrupała
2. Computational Methods for Linguistic and Behavioral Research
   Principal Investigator: Dr. Emmanuel Keuleers
3. Inclusive and Sustainable Machine Translation
   Principal Investigator: Dr. Dimitar Shterionov
4. Computational Psycholinguistics
   Principal Investigators: Dr. Bruno Nicenboim and Dr. Giovanni Cassani

The use of machine learning and deep learning algorithms to analyze neurophysiological data has improved our understanding of the human brain and allows for the creation of new types of non-invasive interfaces based on fMRI, EEG and sensor data. Researchers in the group explore a wide range of cognitive phenomena including attention, memory, perception, and production and comprehension of language, with applications in education, computational psychiatry and user-specific therapeutic interventions. 

1. Computational Psychiatry
   Principal Investigator: Dr. Marijn van Wingerden
2. Neurocomputation of Language
   Principal Investigator: Dr. Harm Brouwer
3. Attention, Memory and Consciousness
   Principal Investigator: Dr. Myrthe Faber
4. Collective Cognition and Complexity Science
   Principal Investigator: Dr. Travis Wiltshire
5. Dynamic Signs and Signals
   Principal Investigator: Dr. Wim Pouw

1. Military Decision Making and Intelligence Analysis
2. Semi-autonomous Systems Optimization
3. Cybersecurity
4. Ethical Aspects of AI for Defense Purposes