What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
Godel, Escher, Bach: An Eternal Golden Braid
Godel, Escher, Bach: An Eternal Golden Braid
Machine Learning
Artificial Intelligence
A robust system for natural spoken dialogue
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Design principles for resource management systems for intelligent spaces
IWSAS'01 Proceedings of the 2nd international conference on Self-adaptive software: applications
Extending plan inference techniques to recognize intentions in information graphics
UM'03 Proceedings of the 9th international conference on User modeling
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The intelligent space is a vision of a physical environment that acts intelligently to anticipate its occupants' needs and provide timely assistance. There are many problems to overcome before this can become a practical reality. We believe that one of the most significant problems is that of inferring the user's needs from observations of their behaviour. To this end, we have developed the xAssist framework as a vehicle to experiment with this inferencing process. By confining ourselves to the desktop environment, we are able to isolate and explore the issues involved in reasoning about user goals, and at the same time, produce applications that are immediately useful.