Scheduling with uncertain resources:
Learning to ask the right questions
Alexander Carpentier, Mehrbod Sharifi, Eugene Fink,
and Jaime G. Carbonell
In Proceedings of the IEEE International Conference
on Systems, Man, and Cybernetics, pages 2543-2547, 2008.
We consider the task of scheduling a conference based on incomplete
information about resources and constraints, which requires elicitation of
additional data, and describe a learning procedure that improves
elicitation strategies. We outline the representation of incomplete
knowledge, and then describe an adaptive elicitation procedure, which
learns to identify critical missing data.