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]
Examples
Bayesian learning mechanisms have been used to study social learning in theoretical models of herd behavior.[4]
See also
- Active learning
- Bayesian learning
- Cognitive acceleration
- Cognitivism (learning theory)
- Constructivist epistemology
- Developmental psychology
- Fluid and crystallized intelligence
- Inquiry-based learning
- Kohlberg's stages of moral development
- Theory theory
References
- ^ "Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory".
{{cite web}}: Unknown parameter|authors=ignored (help) - ^ Bayesian Models of Conceptual Development: Learning as Building Models of the World https://www.annualreviews.org/doi/abs/10.1146/annurev-devpsych-121318-084833?journalCode=devpsych
- ^ Bayesian models of child development https://pubmed.ncbi.nlm.nih.gov/26263064
- ^ f>Investigación y desarrollo Validación empírica de Modelos de Manadas bajo aprendizaje bayesiano http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000333301
 | This computing article is a stub. You can help Wikipedia by expanding it. |