IS Journal 2017 Journal Article
Interactive Task Learning
- John E. Laird
- Kevin Gluck
- John Anderson
- Kenneth D. Forbus
- Odest Chadwicke Jenkins
- Christian Lebiere
- Dario Salvucci
- Matthias Scheutz
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.