Learning, prediction and causal Bayes nets.

  title={Learning, prediction and causal Bayes nets.},
  author={Clark Glymour},
  journal={Trends in cognitive sciences},
  volume={7 1},
Recent research in cognitive and developmental psychology on acquiring and using causal knowledge uses the causal Bayes net formalism, which simultaneously represents hypotheses about causal relations, probability relations, and effects of interventions. The formalism provides new normative standards for reinterpreting experiments on human judgment, offers a precise interpretation of mechanisms, and allows generalizations of existing theories of causal learning. Combined with hypotheses about… CONTINUE READING
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Causal maps and Bayes nets: a cognitive and computational account of theory-formation

  • A. Gopnik, C. Glymour
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Inferring causal relations from observations and interventions

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The Mind’s Arrows: Bayes Nets and Graphical Causal Models in Psychology

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