1.  23
    Christopher G. Lucas & Thomas L. Griffiths (2010). Learning the Form of Causal Relationships Using Hierarchical Bayesian Models. Cognitive Science 34 (1):113-147.
  2.  24
    Bénédicte Bes, Steven Sloman, Christopher G. Lucas & Éric Raufaste (2012). Non-Bayesian Inference: Causal Structure Trumps Correlation. Cognitive Science 36 (7):1178-1203.
    The study tests the hypothesis that conditional probability judgments can be influenced by causal links between the target event and the evidence even when the statistical relations among variables are held constant. Three experiments varied the causal structure relating three variables and found that (a) the target event was perceived as more probable when it was linked to evidence by a causal chain than when both variables shared a common cause; (b) predictive chains in which evidence is a cause of (...)
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  3.  5
    Christopher G. Lucas, Sophie Bridgers, Thomas L. Griffiths & Alison Gopnik (2014). When Children Are Better Learners Than Adults: Developmental Differences in Learning the Forms of Causal Relationships. Cognition 131 (2):284-299.
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