DocumentCode
1862060
Title
Artificial learners of objects and names
Author
Plebe, Alessio ; De la Cruz, Vivian ; Mazzone, Marco
fYear
2007
fDate
11-13 July 2007
Firstpage
300
Lastpage
305
Abstract
Naming requires recognition. Recognition requires the ability to categorize objects and events. What mechanisms in the brain underlie the unfolding of these capacities? In this article, we describe a neural network model in which artificially created individuals are exposed to visual stimuli and vocal sounds and are tested in experiments like human children. The model simulates, in a biologically plausible way, the process by which infants learn how to recognize objects and words through experience.
Keywords
learning (artificial intelligence); learning systems; neural nets; object recognition; artificially created individual; event categorization; name artificial learner; naming recognition; neural network model; object artificial learner; object categorization; object recognition; visual stimuli; vocal sound; Acoustic testing; Artificial neural networks; Biological neural networks; Biological system modeling; Brain modeling; Circuits; Cognitive science; Genetics; Humans; Pediatrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Development and Learning, 2007. ICDL 2007. IEEE 6th International Conference on
Conference_Location
London
Print_ISBN
978-1-4244-1116-0
Electronic_ISBN
978-1-4244-1116-0
Type
conf
DOI
10.1109/DEVLRN.2007.4354050
Filename
4354050
Link To Document