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.