DocumentCode
2958215
Title
Object perception in the neural modeling fields framework
Author
Fontanari, José F. ; Perlovsky, Leonid I.
Author_Institution
Inst. de Fis. de Sao Carlos, Univ. de Sao Paulo, Sao Paulo
fYear
2008
fDate
1-8 June 2008
Firstpage
1774
Lastpage
1779
Abstract
Movement seems to be the key ingredient to understanding how children perceive (and hence name) objects in their environment. This insight, which is based on Spelkepsilas experiments on language acquisition by children, is akin to Aristotlepsilas conception of object as a ldquocontinuous thingrdquo that has one and only one movement. Here we test this idea with a computer experiment in which the perceptual system of the individual is modeled by the Neural Modeling Fields categorization mechanism, and the environment is composed of two complex objects that can move with respect to each other. Rather remarkably, we find that movement indeed makes possible the differentiation of objects which the individual would deem indistinguishable if motionless.
Keywords
cognition; cognitive systems; neural nets; children language acquisition; complex objects; neural modeling fields categorization mechanism; object perception; perceptual system; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4634038
Filename
4634038
Link To Document