Scheduling with uncertain resources:
Representation of common knowledge
Eugene Fink, P. Matthew Jennings, Konstantin Salomatin,
and Jaime G. Carbonell
In Proceedings of the IEEE International Conference
on Systems, Man, and Cybernetics, pages 2642-2646, 2009.
We describe a system for scheduling a conference based on incomplete
information about available resources and scheduling constraints. We
explain the representation of uncertain knowledge and related common-sense
rules, which allow reasoning based on uncertain and partially missing data.