Bayesian learning mechanisms

From HandWiki

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

  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. 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. http://psyarxiv.com/aq3rp/. 
  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. http://osf.io/9cvhw/. 
  4. Herrera, Juan Pablo; Gerena, Francisco Lozano (22 September 2005). "Modelo de manadas y aprendizaje social" (in es). Revista de Economía Institucional 7 (13): 133–160. Gale A166620594. 
  5. 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. 
  6. 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. PMID 33770743.