DocumentCode :
2340401
Title :
Evolving creatures that can learn by imitation: apprentice behavior and its role in robot motor learning
Author :
Stoica, Adrian
Author_Institution :
Dept. of Electr. & Electron. Eng., Victoria Univ. of Technol., Melbourne, Vic., Australia
fYear :
1994
fDate :
7-9 Sept. 1994
Firstpage :
440
Lastpage :
443
Abstract :
The approach presented argues in favor of a methodology of evolving robotic systems that are fitted for learning from similar creatures in their environment, i.e. exhibit an apprentice behavior. An individual system that is adapted for learning from other fitted individuals performing in the same environment is proposed and it is suggested how such a system may be obtained through evolution. As a particular implementation of such a system, an anthropomorphic manipulator is considered, which is assumed to have gained this ability. Its motor development is outlined with the apprentice behavior supporting the transition from self learning of sensory coordination to teacher based learning.
Keywords :
intelligent control; learning (artificial intelligence); manipulators; anthropomorphic manipulator; apprentice behavior; learn by imitation; motor development; robot motor learning; robotic systems; sensory coordination; teacher based learning; Anthropomorphism; Artificial intelligence; Cognition; Cultural differences; Humans; Manipulators; Neural networks; Phylogeny; Robot sensing systems; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
From Perception to Action Conference, 1994., Proceedings
Print_ISBN :
0-8186-6482-7
Type :
conf
DOI :
10.1109/FPA.1994.636142
Filename :
636142
Link To Document :
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