Abstract
This article presents a new research area called interactive task learning (ITL), in which an agent actively tries to learn not just how to perform a task better but the actual definition of a task through natural interaction with a human instructor while attempting to perform the task. The authors provide an analysis of desiderata for ITL systems, a review of related work, and a discussion of possible application areas for ITL systems.
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APA
Laird, J. E., Gluck, K., Anderson, J., Forbus, K. D., Jenkins, O. C., Lebiere, C., … Kirk, J. R. (2017). Interactive Task Learning. IEEE Intelligent Systems, 32(4), 6–21. https://doi.org/10.1109/MIS.2017.3121552
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