Current research topics

Research at the AI lab can be situated in one of these three domains. Click on a topic to find out more and to see a list of ongoing research projects in these domains.
  • Computational Biology is the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems. The computational biology research within the AI lab focusses on different topics like the identification and analysis of the information processing capacity of proteins, the analyses of diseases like CML through the use of a mathematical model of the hematopoietic system and the modelling of populations of evolving individuals that try to collectively achieve some goal like cooperation or coordination.

  • We investigate ways in which artificial agents can self-organize languages with natural-language like properties and how meaning can co-evolve with language. Our research is based on the hypothesis that language is a complex adaptive system that emerges through adaptive interactions between agents and continues to evolve in order to remain adapted to the needs and capabilities of the agents. We explore this hypothesis by implementing the full cycle of speaker and hearer as they play situated language games and observing the characteristics of the languages that emerge.

  • Telecommunications, economics, mobile robots, traffic simulation, ... are all examples of systems in which decentralisation of data and/or distribution of control is either required or inherently present. 

  • The lab has a vast experience with different Machine Learning techniques for Data Mining and Modeling.