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Article
Scheduling with Uncertain Resources: Learning to Make Reasonable Assumptions
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics
  • Steven Gardiner, Carnegie Mellon University
  • Eugene Fink, Carnegie Mellon University
  • Jaime G. Carbonell, Carnegie Mellon University
Date of Original Version
10-1-2008
Type
Conference Proceeding
Abstract or Description
We consider the task of scheduling a conference based on incomplete information about resources and constraints, and describe a mechanism for the dynamic learning of related default assumptions, which enable the scheduling system to make reasonable guesses about missing data. We outline the representation of incomplete knowledge, describe the learning procedure, and demonstrate that the learned knowledge improves the scheduling results.
DOI
10.1109/ICSMC.2008.4811680
Citation Information
Steven Gardiner, Eugene Fink and Jaime G. Carbonell. "Scheduling with Uncertain Resources: Learning to Make Reasonable Assumptions" Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (2008) p. 2554 - 2559
Available at: http://works.bepress.com/jaime_carbonell/73/