Rational Approximations to Rational Models: Alternative Algorithms for Category Learning
- Author
- SANBORN, Adam N1 ; GRIFFITHS, Thomas L2 ; NAVARRO, Daniel J3
[1] University College London, United Kingdom
[2] University of California, Berkeley, United States
[3] University of Adelaide, Australia - Source
Psychological review. 2010, Vol 117, Num 4, pp 1144-1167, 24 p ; ref : 1 p.3/4
- CODEN
- PSRVAX
- ISSN
- 0033-295X
- Scientific domain
- Cognition; Psychology, psychopathology, psychiatry
- Publisher
- American Psychological Association, Washington, DC
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- categorization rational approximations rational models
- Keyword (fr)
- Algorithme Apprentissage Catégorisation Homme Modèle mathématique Méthode Monte Carlo Rationnel irrationnel Simulation numérique Cognition Processus acquisition
- Keyword (en)
- Algorithm Learning Categorization Human Mathematical model Monte Carlo method Rational irrational Numerical simulation Cognition Acquisition process
- Keyword (es)
- Algoritmo Aprendizaje Categorización Hombre Modelo matemático Método Monte Carlo Racional irracional Simulación numérica Cognición Proceso adquisición
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A26 Psychology. Psychophysiology / 002A26H Cognition. Intelligence / 002A26H05 Reasoning. Problem solving
- Francis
- 770 Psychology. Psychoanalysis. Psychiatry / 770-B Psychology. Psychophysiology / 770-B08 Cognition. Intelligence / 770-B08E Reasoning. Problem solving
- Discipline
- Psychology. Ethology
- Origin
- Inist-CNRS
- Database
- FRANCIS ; PASCAL
- INIST identifier
- 23415123
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1037/a0020511 
https://dx.doi.org/10.1037/a0020511
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