Bayesian learning mechanisms: Difference between revisions
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* [[Kohlberg's stages of moral development]] |
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* [[Theory theory]] |
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==References== |
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Revision as of 09:55, 13 June 2021
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][4] in humans and animals.
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
- ^ url=https://pubmed.ncbi.nlm.nih.gov/22582739/
- ^ 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
- ^ Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3422420
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