Challenges to Decision Support in a Changing World
Marek J. Druzdzel
Decision Systems Laboratory
School of Information Sciences
Intelligent Systems Program
University of Pittsburgh
Tze Yun Leong
Medical Computing Laboratory
Department of Computer Science
School of Computing
National University of Singapore
ONE OF THE MOST DAUNTING CHALLENGES faced by decision support systems is
a perpetual change in their environment.
Existing decision support methodologies, tools, and frameworks are often
difficult to scale up and adapt to changing knowledge, workflow, and
Systems that have to cope with change need to include methodologies that go
outside single theories.
For example, systems that are based on probabilistic or decision-theoretic
principles will be typically unable to cope with change by themselves,
as neither probability theory nor decision theory say much about how
decision models are constructed, let alone how they should be modified.
The general AI concepts of perception, learning, control, abstraction,
and personalization must be inherently designed into the methodological,
architectural, and operational aspects of adaptive systems, from
application design through software and hardware infrastructure support.
The technical report is available from AAAI.
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Last update: 7 January 2011