Jump to content

Bayesian learning mechanisms

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Mechachleopteryx (talk | contribs) at 16:47, 16 June 2021 (Cleaned up reference). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

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

References

  1. ^ "Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory". {{cite web}}: Unknown parameter |authors= ignored (help)
  2. ^ https://www.annualreviews.org/doi/abs/10.1146/annurev-devpsych-121318-084833?journalCode=devpsych
  3. ^ Bayesian models of child development https://pubmed.ncbi.nlm.nih.gov/26263064
  4. ^ Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3422420