Title :
Artificial learners of objects and names
Author :
Plebe, Alessio ; De la Cruz, Vivian ; Mazzone, Marco
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;
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
DOI :
10.1109/DEVLRN.2007.4354050
