Bayesian learning mechanisms

Bayesian learning mechanisms are probabilistic causal models[1] used in computer science to research the fundamental underpinnings of machine learning, and in cognitive neuroscience, to model conceptual development.[2][3]

Bayesian learning mechanisms have also been used in economics[4] and cognitive psychology to study social learning in theoretical models of herd behavior.[5]

See also

References
  1. Gopnik, Alison; Wellman, Henry M. (2012). "Reconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory". Psychological Bulletin. 138 (6): 1085–1108. doi:10.1037/a0028044. PMC 3422420. PMID 22582739.
  2. Ullman, Tomer D.; Tenenbaum, Joshua B. (15 December 2020). "Bayesian Models of Conceptual Development: Learning as Building Models of the World". Annual Review of Developmental Psychology. 2 (1): 533–558. doi:10.1146/annurev-devpsych-121318-084833. hdl:1721.1/138358.2.
  3. Gopnik, Alison; Bonawitz, Elizabeth (March 2015). "Bayesian models of child development: Bayesian models of child development". Wiley Interdisciplinary Reviews: Cognitive Science. 6 (2): 75–86. doi:10.1002/wcs.1330. PMID 26263064.
  4. Herrera, Juan Pablo; Gerena, Francisco Lozano (22 September 2005). "Modelo de manadas y aprendizaje social" [A Model of Herds and Social Learning]. Revista de Economía Institucional (in Spanish). 7 (13): 133–160. SSRN 923861. Gale A166620594.
  5. "Validación empírica de Modelos de Manadas bajo aprendizaje bayesiano" [Empirical validation of Herd Models under Bayesian learning] (in Spanish). January 2004. {{cite journal}}: Cite journal requires |journal= (help)


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