DocumentCode :
423590
Title :
Object permanence: results from developmental robotics
Author :
Chen, Yi ; Weng, Juyang ; Huang, Xiao
Author_Institution :
Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Lastpage :
584
Abstract :
Object permanence is an important theoretical construct that has been researched with infants. For the last twenty years, a debate as whether object permanence is an innate conceptual knowledge or a gradually constructed perceptual capability has been raised. However, the lack of autonomous computational models leaves this issue still widely open. A neurologically inspired computational model based on priming is proposed and tested on our developmental SAIL robot. By nurturing the robot baby with different living experiences, we conduct the well-known "drawbridge" experiment on eleven experience-tuned "brains". The implication of our experimental results is informative, which not only sheds light on the controversial issue of object permanence, but might produce long lasting effects on the way AI community approaches highly perceptual machines.
Keywords :
brain models; cognitive systems; knowledge engineering; robots; developmental SAIL robot; developmental robotics; object permanence; perceptual machines; Artificial intelligence; Cognitive robotics; Computational modeling; Computer science; Humans; Neuroscience; Pediatrics; Psychology; Robots; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1379979
Filename :
1379979
Link To Document :
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