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.