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The Approximate and Qualitative Reasoning (AQR) Group is part of the
Centre for
Intelligent Behaviour and its Applications within the School of Informatics at
the University of Edinburgh. The
School has earned top ratings for both research (5A) and teaching
(Excellent) in the most recent UK national quality assessment, and is
the premier research centre for AI in Europe.
The members of the AQR group are
particularly active in the areas of fuzzy and qualitative modelling,
model-based reasoning and knowledge reuse. The following are the
strands of our current research:
Integration of fuzzy, qualitative and graphical models to increase the
effectiveness and efficiency of practical reasoning systems.
Exploitation of computational learning mechanisms for domain modelling, with a
focus on knowledge formulation and refinement.
Investigation of causal and compositional modelling methods for explanation
generation, within both physical and non-physical domains.
Use of multiple models within a model family to allow fast instantiation
and adaptation of representations of knowledge.
Development of novel constraint satisfaction techniques for problems which
involve dynamic, uncertain and/or flexible constraints.
On the whole, these strands of research concern the development of
techniques for representing the common-sense knowledge of the average
person and the tacit knowledge used by engineers and scientists. This
allows the subjective element of common-sense knowledge to be
incorporated within formal and domain-independent algorithms for
reasoning about domain-specific problems.
Most of our research projects are/were funded by EPSRC and industrial partners.
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