A neural structure for learning by imitation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1674, Issue , 1999, Pages 314-318

  Moga, Sorin ^a   Gaussier, Philippe ^a  

^a Centre national de la recherche scientifique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

INTERNAL REPRESENTATION; LEARNING BY IMITATION; NEURAL ARCHITECTURES; NEURAL FIELDS; NEURAL STRUCTURES; SEQUENCE OF ACTIONS;

DEGREES OF FREEDOM (MECHANICS);

EID: 84957635430     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48304-7_40     Document Type: Conference Paper

References (7)

1. S. Amari. Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics, 27: 77-87, 1977.
2. P. Bakker and Y. Kuniyoshi, Robot see, robot do: An overview of robot imitation. In AISB Workshop on Learning in Robots and Animals, Brighton, UK, 1996.
3. L. Berthouze and Y. Kuniyoshi. Emergence and categorization of coordinated visual behavior through embodied interaction. Machine Learning, 31(1/2/3): 187-200, 1998.
4. E. Bicho and G. Schoner. The dynamic approach to autonomous robotics demonstrated on a low-level vehicle platform. Robotics and Autonomous Systems, 21: 23-35, 1997.
5. John Demiris and Gillian Hayes. Imitative learning mechanisms in robots and humans. In Proceedings of the 5th European Workshop on Learning Robots, Bari, Italy, July 1996. 1996.
6. J.P. Banquet P. Gaussier, S. Moga and M. Quoy. From perception-action loops to imitation processes: A bottom-up approach of learning by imitation. Applied Artificial Intelligence: An international Journal, 12(7).
7. G. Schöner, M. Dose, and C. Engels. Dynamics of behavior: theory and applications for autonomous robot architectures. Robotics and Autonomous System, 16(2-4): 213-245, December 1995.