Model-based Reasoning Group
Theme description
The Model-based Reasoning Group
involves researchers from Nijmegen and Utrecht
with close links with other research groups, notably those
from Aalborg, Almeria and Madrid. Research topics are:
- Bayesian networks and decision theory:
- Causal modelling of real-world problems (in particular medical
problems)
- Algorithmic aspects of probabilistic reasoning
- Bayesian-network structure learning
- Model-based diagnosis:
- Semantics of diagnosis
- Integration of probabilistic and logical diagnostic
reasoning
- Medical applications of model-based reasoning
This research is funded by the Netherlands Science Foundation
(NWO) and BRICKS through four projects:
- TimeBayes: temporal Bayesian networks
- ProBayes: learning Bayesian networks using background knowledge
- B-Screen: Bayesian decision support in medical screening
- Octopus: pinter adaptibility
We are also involved in the European Network of Excellence on Model-based
and Qualitative Reasoning
( MONET), and one of
the participants in the EU-IST project Protocure
Former group members
- Peter Lucas
- Nivea de Carvalho Ferreira
- Ildiko Flesch
- Arjen Hommersom
Activities
Publications