News:
(20 march)
program available (pdf)
(16 jan)
All notifications were sent.
travel grants application deadline 28 feb
(9 Jan)
Submission closed for regular papers
Deadline for Poster and Video submissions is Feb 10
(22 Dec)
EXTENDED
DEADLINE FOR REGULAR PAPERS:
08 January
(16 Nov)
travel grants to phd students will be supported by euCognition
(15 Sep)
call for papers (pdf)
Special Dates:
Jan 08 Paper
submissions
Feb 05 Notification
Feb 10 Poster and Video submission
Feb 22 Camera
ready copies
April 02-05 AISB'07
Paper Submission:
page limit of 8 pages
use the standard ECAI style files (check AISB'07 page for details)
there will be a special issue in an international journal
Supported by:
Previous Workshops:
Proceedings: pdf
PROGRAM:
| Monday | |
| Session (09.00-10.00): | |
| Convention Plenary | |
| Session 1 (10.30-12.30) | |
| When Training Engenders Failure to Imitate in Grey Parrots | Irene M. Pepperberg |
| From exploration to imitation: using learnt internal models to imitate others | Anthony Dearden, Yiannis Demiris |
| Visuo-Cognitive Perspective Taking for Action Recognition | Matthew Johnson, Yiannis Demiris |
| Echo State Network Applied to a Robot Control Task | Xavier Dutoit, Davy Sannen, Marnix Nuttin |
| Session 2 (13.30-15.00) | |
| Invited #1 - Imitation in children. | Nicola McGuigan |
| Motionese Tells Infants and Robots “What To Imitate” | Yukie Nagai, Katharina Rohlfing |
| Session 3 (15.30-17.30): | |
| Learning Robotic Tasks: Imitation and Reinforcement | Francisco Melo, Manuel Lopes |
| Learning by Observation: Comparison of three intuitive methods of embedding mentor's knowledge in reinforcement learning algorithms | Natalia Akchurina |
| Multiagent Collaborative Task Learning through Imitation | Sonia Chernova, Manuela Veloso |
| Tuesday | |
| Session (09.00-10.00): | |
| Convention Plenary | |
| Session 1 (10.30-12.30) | |
| Invited #2 - Imitation and self/other distinction | Marcel Brass |
| Learning models of camera control for imitation in football matches | Anthony Dearden, Yiannis Demiris, Oliver Grau |
| Imitating the Groove: Making Drum Machines more Human | Axel Tidemann, Yiannis Demiris |
| Session 2 (13.30-15.00) | |
| Imitative learning in monkeys | Ludwig Huber, Bernhard Voelkl, Friederike Range |
| Shared Intentional Plans for Imitation and Cooperation: Integrating Clues from Child Development and Neurophysiology into Robotics | Peter Ford Dominey |
| Posters & Videos | |
| Imitation in animals in lack of causal understanding? | Zsófia Virányi |
| Session 3 (15.30-17.30): | |
| Selective imitation in dogs | F Range, Zsófia Virányi, L Huber |
| Learning Affordances Objects: From Sensory Motor Maps to Imitation | Luis Montesano, Manuel Lopes |
| A Theoretical Consideration on Robotic Imitation of Human Action According to Demonstration plus Suggestion | Masao Yokota |
| Robotic Locust: who is my friend? | Shigang Yue |
ABSTRACT:
Imitation facilitates transmitting culture practices and ideas
from generation to generation, enabling humans, animals, and now
robots, to learn skills others have already mastered. By avoiding the
lengthy period of trial-and-error to accomplish new tasks, imitation
is thus a very efficient learning method, and also a very intuitive
way to program robots by teaching.
Imitation is unique among other social learning mechanisms in that it requires the observer to understand the action being performed, and then to relate it to its equivalent motor representations. It also requires the integration of information from sensory, motor, and brain systems, whose underlying mechanisms are not well-understood yet. Explaining the imitative abilities of humans and other animals has proved to be a complex subject. Indeed, it is highly non-trivial even to say exactly what it means for two behaviours to be the "same".
The mechanisms of imitation and social learning are not well-understood, and the connections to social interaction, communication, development, and learning are deep, as recent research from various disciplines has started to uncover. Comparison of imitation in animals and artifacts reveals that easy tasks for machines can be hard tasks for animals and vice-versa. However, computational complexity issues do not explain, by themselves, the existence or not of imitation behaviours in animals, and the integration of higher level cognitive capabilities like agent’s goals, intentions and emotions, may play a fundamental role in explaining these differences.
This interdisciplinary workshop will bring together researchers from neuroscience, brain imaging, animal psychology, computer science and robotics to examine the latest advances to imitation, aiming to further advance our understanding of the underlying mechanisms.
Imitation is unique among other social learning mechanisms in that it requires the observer to understand the action being performed, and then to relate it to its equivalent motor representations. It also requires the integration of information from sensory, motor, and brain systems, whose underlying mechanisms are not well-understood yet. Explaining the imitative abilities of humans and other animals has proved to be a complex subject. Indeed, it is highly non-trivial even to say exactly what it means for two behaviours to be the "same".
The mechanisms of imitation and social learning are not well-understood, and the connections to social interaction, communication, development, and learning are deep, as recent research from various disciplines has started to uncover. Comparison of imitation in animals and artifacts reveals that easy tasks for machines can be hard tasks for animals and vice-versa. However, computational complexity issues do not explain, by themselves, the existence or not of imitation behaviours in animals, and the integration of higher level cognitive capabilities like agent’s goals, intentions and emotions, may play a fundamental role in explaining these differences.
This interdisciplinary workshop will bring together researchers from neuroscience, brain imaging, animal psychology, computer science and robotics to examine the latest advances to imitation, aiming to further advance our understanding of the underlying mechanisms.
AREAS OF INTEREST (not limited to):
* Cognitive Development and Imitation
* Neurobiological Foundations of Imitation
* Social interaction and Imitation
* Language acquisition
* Imitation, Intentionality and Communication
* Imitation in Animals
* Learning by Imitation to bootstrap the acquisition of skills & knowledge
* The Role of Imitation in the Development of Social Cognition
* Robot Imitation
* Computational mechanisms of imitation
* Joint-attention and perspective taking
* Cultural transmission of skills
* Teaching and scaffolding of behaviours
* Imitation and motivation
Organization:
Chair:
José Santos-Victor (web)
(Instituto Superior Técnico, PT)
Co-Chairs:
| Manuel Lopes (web) (Instituto Superior Técnico, PT) |
Alexandre
Bernardino (web) (Instituto Superior Técnico, PT) |
Steering Committee:
| Yiannis
Demiris (Imperial College London, UK) |
Chrystopher
Nehaniv (University Hertfordshire, UK) |
Kerstin
Dautenhahn (University Hertfordshire, UK) |
Program Committee:
Alexandre Bernardino, (IST, Portugal)
Andrew Meltzoff, (U. Washington, USA)
Aris Alissandraiks, (Hertfordshire, UK)
Aude Billard, (EPFL, CH)
Bart Jansen, (VUB, Belgium)
Brian Scassellati, (Yale, USA)
Chana Akins, (Kentucky, USA)
C. L. Nehaniv, (Hertfordshire, UK)
Frédéric Kaplan, (EPFL, Switzerland)
Francisco Lacerda, (Stockholm, Sweden)
Giorgio Metta, (Genova, IT)
Harold Bekkering, (Nijmegen, NL)
Heiko Wersing, (Honda R.I., Germany)
Irene Pepperberg, (Harvard, USA)
Jacqueline Nadel, (CNRS, France)
Jochen J. Steil, (Bielefeld, Germany)
Joanna Bryson, (Bath, UK)
José Santos-Victor, (IST, Portugal)
K. Dautenhahn, (Hertfordshire, UK)
Ludwig Huber, (Vienna, Austria)
Manuel Lopes, (IST, Portugal)
Max Lungarella, (Tokyo, JP)
Monica Nicolescu, (Nevada, USA)
Nicola McGuigan, (St. Andrews, Scotland)
Rui Prada, (IST, Portugal)
Thomas R. Zentall, (Kentucky, USA)
Tony Belpaeme,(Plymouth, UK)
Yukie Nagai, (Bielefeld, Germany)
Yiannis Demiris,(Imperial College, UK)