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Using Uncertainty within Computation
AAAI 2001 Fall Symposium
November 2-4, 2001
Sea Crest Oceanfront Resort and Conference Cente
North Falmouth, Cape Cod, MA
Final Call for Papers:
To reason about complex computational systems, researchers are
starting to borrow techniques from the field of uncertainity
reasoning. In some cases, this is because the algorithms contain
stochastic components. For example, Markov decision processes are now
being used to model the trajectory of stochastic local search
procedures. In other cases, uncertainity is used to help model and
cope with the stochastic nature of inputs to (possibly deterministic)
algorithms. Uncertainity and randomness have also been found to be a
useful addition to many deterministic algorithms. And a number of
areas like planning, constraint satisfaction, and inductive logic
programming which have traditionally ignored uncertainity in their
computations are waking up to the possibility of incorporating
uncertainity into their formalisms. The goal of this workshop is to
encourage symbiosis between these different areas.
The symposium will consist of invited talks, panel discussions,
individual presentations and group discussions. Those interested in
making a presentation should submit a technical paper of up to 8 pages
in AAAI two column proceedings format. Other participants should
submit either a position paper or a research abstract of up to 2
pages.
Email submissions in postscript format are encouraged. Please send
submissions to tw@cs.york.ac.uk to arrive, at the very latest, by
August 10, 2001. The number of participants at the symposium is
limited. As submissions will be considered on a first-come basis, you
are advised to submit as soon as possible.
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