This AAAI Spring Symposium aims to bring together a multi-disciplinary group of researchers to discuss how we can enable agents to learn from real-time interaction with an everyday human partner, exploring the ways in which machine learning can take advantage of elements of human-like social learning.
The goal of this meeting is to foster a collaborative dialog and bring multiple perspectives to bear on this challenge.  We are seeking broad participation from researchers in:
  1. - Machine Learning
  2. - Human-Computer Interaction
  3. - Human-Robot Interaction
  4. - Intelligent User Interfaces
  5. - Developmental Psychology
  6. - Among others...
Agents that Learn from Human Teachers
AAAI Spring 2009 Symposium
Important Dates
Oct 3: paper deadline
Nov 7: acceptance announcements
Feb 6: registration deadline for invited participants
Feb 27: open registration deadline
Mar 23-25: symposium at Stanford University
July 23: CFP added
Nov 7: accepted papers announced
Jan 21: final versions of papers due to AAAI