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IUI
2005
ACM
13 years 10 months ago
Task learning by instruction in tailor
In order for intelligent systems to be applicable in a wide range of situations, end users must be able to modify their task descriptions. We introduce Tailor, a system that allow...
Jim Blythe
ICIA
2007
13 years 7 months ago
Task Learning by Instruction: Benefits and Challenges for Intelligent Interactive Systems
The CALO desktop assistant aims to provide assistance through many AI technologies, including several techniques for learning to perform tasks. Based on our experiences implementi...
Jim Blythe, Prateek Tandon, Mandar Tillu
IUI
1997
ACM
13 years 9 months ago
The Pedagogical Design Studio: Exploiting Artifact-Based Task Models for Constructivist Learning
Intelligentlearning environments that support constructivism shouldprovideactivelearningexperiencesthatarecustomized for individuallearners. To do so, they must determine learner ...
James C. Lester, Patrick J. Fitzgerald, Brian A. S...
ROBOCUP
2005
Springer
96views Robotics» more  ROBOCUP 2005»
13 years 10 months ago
Self Task Decomposition for Modular Learning System Through Interpretation of Instruction by Coach
One of the most formidable issues of RL application to real robot tasks is how to find a suitable state space, and this has been much more serious since recent robots tends to hav...
Yasutake Takahashi, Tomoki Nishi, Minoru Asada
ATAL
2003
Springer
13 years 10 months ago
Natural methods for robot task learning: instructive demonstrations, generalization and practice
Among humans, teaching various tasks is a complex process which relies on multiple means for interaction and learning, both on the part of the teacher and of the learner. Used tog...
Monica N. Nicolescu, Maja J. Mataric