Superstition in artificial neural networks: a case study for selectionist approaches to reinforcement
Document title: Superstition in artificial neural networks: a case study for selectionist approaches to reinforcement
Journal: Revista mexicana de análisis de la conducta
Database: CLASE
System number: 000179208
ISSN: 0185-4534
Authors: 1
Institutions: 1Universidad de Guadalajara, Guadalajara, Jalisco. México
Year:
Season: Sep
Volumen: 26
Number: 2
Pages: 159-188
Country: México
Language: Inglés
Document type: Artículo
Approach: Analítico
Disciplines: Psicología
Keyword: Psicología experimental,
Psicofisiología,
Redes neuronales artificiales,
Reforzamiento,
Superstición,
Condicionamiento pavloviano,
Condicionamiento operante,
Principios neurales,
Simulación por computadora
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