Ernst Strüngmann Forum: Interactive Task Learning
21. Mai - 26. Mai
Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interaction
Kevin A. Gluck and John E. Laird, Chairpersons
Program Advisory Committee:
Kenneth M. Ford, Institute for Human and Machine Cognition, Pensacola, FL, U.S.A.
Kevin A. Gluck, Air Force Research Laboratory, Wright-Patterson AFB, OH, U.S.A.
John E. Laird, University of Michigan, Ann Arbor, MI, U.S.A.
Elena Lieven, Manchester University, Manchester, M13 9PL, U.K.
Julia Lupp, Ernst Strüngmann Forum, 60438 Frankfurt, Germany
Luc Steels, Vrije Universiteit Brussels, B-1050 Brussels, Belgium
Niels Taatgen, University of Groningen, Department of Artificial Intelligence, Groningen, The Netherlands
Understanding the acquisition of new tasks through natural interaction is a fundamental unsolved problem. It is an inherently multidisciplinary challenge, which impedes progress due to the fractionated state of the relevant scientific and technical disciplines. This Forum will be a catalyzing event to achieve the following goals:
• Define the problem of interactive task learning from diverse perspectives.
• Identify the most important scientific gaps that must be addressed to understand interactive task learning in humans and achieve the vision for interactive task learning in artificially intelligent systems.
• Identify a variety of possible scientific and technical approaches to closing those gaps, drawing from a multiplicity of scientific fields.
• Relate the closing of those gaps to concrete new capabilities needed in assistive robotics, healthcare, education, training, and gaming.
• Establish a diverse international community of scientists committed to the study of interactive task learning.
Insights gained from this Forum will provide a foundational reference and organizing framework for global research and development in interactive task learning.