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Publication Details

What Were You Thinking? Filling in Missing Dataflow Through Inference in Learning from Demonstration

by Gervasio, M. T. and Murdock, J. L.

in Proceedings of the 2009 International Conference on Intelligent User Interfaces

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.

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Associated Projects

CALO

Cognitive Assistant that Learns and Organizes

As part of DARPA’s Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).

AIC Personnel

Name Title E-mail
Gervasio, Melinda Senior Computer Scientist
Murdock, Janet Computer Scientist

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