IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT) Barcelona, Spain

IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT) Barcelona, Spain

Research in interactive learning seeks to enable agents to learn from human instruction, harnessing human expertise to learn tasks and customizing behavior to match human preferences.

Between humans, the interactive student-teacher framework is known to be effective and, furthermore, is familiar to every human; even young children teach one another games and novel skills. Endowing machines with human-like learning capabilities allows humans to teach such machines as they would teach other humans and thus exploits skills that humans already possess. Another strength of an interactive learning approach is in the generality of the student-teacher mechanism; namely, that it might be applied to a wide range of tasks with minimal, ideally no, modification or specialization.

The goal of this IJCAI 2011 workshop, following the 2010 ALIHT workshop at AAMAS, is to increase awareness and interest in interactive learning methods and to foster collaboration between researchers across many disciplines. A further goal is to take steps toward identifying an organizing structure that encompasses existing and future work on agents that learn interactively from human teachers. We are seeking broad participation from researchers in the areas of:

1. Artificial Intelligence
2. Learning from Demonstration
3. Teachable Agents
4. Education
5. Human-Computer Interaction
6. Human-Robot Interaction
7. Intelligent User Interfaces
8. Developmental Psychology
9. Adaptive systems
10. Cognitive Science
11. Computer Games
12. Other related fields