The Qualitative Reasoning Group is part of:
Our research focus is the development tools and expertise that supports the
acquisition of a conceptual understanding of dynamic systems through conceptual
modelling and simulation. The two most notable applications of this technology
are in science education and science.
Within science education, our interactive learning environment DynaLearn
allows for a novel form of
active learning called learning by (conceptual) modelling
. In this approach,
students are "involved in the process of creating, testing, revising, and using
externalized scientific models that may represent their own internalized mental
. Particularly, learners can refine their understanding of systems
by constantly improving their conceptual models based on the simulations
that they produce. Such learning occurs particularly when simulations reveal
inconsistencies in students' ideas and when simulation outcomes differ from
Scientists use our modelling and simulation software Garp3
to develop explicit conceptual (causal)
representations of scientific theories and particular systems to which they
apply. The simulations allow scientists to test their ideas for consistency and
agreement with observations in reality. Our tools have become an established
tool within environmental science.
- Bouwer, A. and Bredeweg, B. (2010). Graphical means for inspecting qualitative models of system behaviour, Instructional Science 38(2), 2010.
- Bredeweg, B., Salles, P., (2009). Mediating conceptual knowledge using qualitative reasoning. In: Jørgensen, S.V., Chon, T-S., Recknagel, F.A. (Eds.), Handbook of Ecological Modelling and Informatics. Wit Press, Southampton, UK, pp. 351-398.
- Bredeweg, B., Linnebank, F., Bouwer, A., and Liem, J., (2009). Garp3 - Workbench for Qualitative Modelling and Simulation. Ecological Informatics 4(5-6), 263-281.
- Nuttle, T. and Bouwer, A. (2009). Supporting education about environmental sustainability: Evaluation of a progressive learning route for qualitative models, Ecological Informatics, 4(5-6), pp 396-404.
- Bredeweg, B. and Forbus, K. (2003). Qualitative Modeling in Education, AI Magazine, 24(4).
DynaLearn is a collaborative project, funded by the European Union. The project's goal is to develop an intelligent and motivating learning environment that supports learners in actively dealing with theoretical concepts to develop their understanding of how systems behave.
The Qualitative Reasoning and Modelling (QRM) portal provides software tools (Garp3), documentation and support for users to build and simulate qualitative models.
The NatureNet-Redime project was a European Union funded project. Its goal was to improvement the knowledge and the provision of education concerning all different aspects of sustainable development.
(see also NNR for the QR related tasks)
MONET: Network of Excellence in Model-Based Systems and Qualitative Reasoning
Monet was a European Network of Excellence of academics, industrialists and others interested in promoting emergent Artificial Intelligence technologies into the commercial world.
These technologies, Model-based Systems and Qualitative Reasoning, offer solutions to complex problems which are only partially understood.
(Former) visiting researchers
- Thomas Jongstra
- Uroš Milosevic
- Miriam Brielmann
- Joram Rafalowicz
- Bakker, E
- Jochem Liem
- Floris, Linnebank
- Werf, R.v.d
- Dubbeldam, B
- Koeman, J
- Groen, R
- Hoof, M
- York-Nam, NG
- Tjaris, P
- York-Nam NG
- Goddijn, F
- Tjaris, P
- Dirk Bertels
- Haverkort, N
- Jelmer Jellema
Science Park 904
1098 XH Amsterdam
P.O. Box 94323
1090 GE Amsterdam
+31 (0)20 525 6788
+31 20 525 7462 (secretary)