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][6]
See also
References
- 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.
- 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.
- 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.
- 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.
- Perreault, Charles; Moya, Cristina; Boyd, Robert (September 2012). "A Bayesian approach to the evolution of social learning". Evolution and Human Behavior. 33 (5): 449–459. doi:10.1016/j.evolhumbehav.2011.12.007.
- Krafft, P.M.; Shmueli, Erez; Griffiths, Thomas L.; Tenenbaum, Joshua B.; Pentland, Alex (July 2021). "Bayesian collective learning emerges from heuristic social learning". Cognition. 212: 104469. doi:10.1016/j.cognition.2020.104469.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.