Publication in BibTeX Format

@INPROCEEDINGS{AICPub1716:2009,
  AUTHOR={Gervasio, M. T. and Murdock, J. L.},
  TITLE={What Were You Thinking? Filling in Missing Dataflow Through Inference in
     Learning from Demonstration},
  BOOKTITLE={Proceedings of the 2009 International Conference on Intelligent User
     Interfaces},
  YEAR={2009},
  ABSTRACT={Recent years have seen a resurgence of interest in pro-gramming by demonstration.
     As end users have become increasingly sophisticated, computer and artificial
     intelli-gence technology has also matured, making it feasible for end users
     to teach long, complex procedures. This paper addresses the problem of learning
     from demonstrations involving unobservable (e.g., mental) actions. We explore
     the use of knowledge base inference to complete missing dataflow and investigate
     the approach in the context of the CALO cognitive personal desktop assistant.
     We experiment with the Pathfinder utility, which efficiently finds all the
     relationships between any two objects in the CALO knowl-edge base. Pathfinder
     often returns too many paths to pre-sent to the user and its default shortest
     path heuristic some-times fails to identify the correct path. We develop a
     set of filtering techniques for narrowing down the results returned by Pathfinder
     and present experimental results showing that these techniques effectively
     reduce the alternative paths to a small, meaningful set suitable for presentation
     to a user. }
}