User:IssaRice/Belief propagation and cognitive biases

From Machinelearning
  • "Several cognitive biases can be seen as confusion between probabilities and likelihoods, most centrally base-rate neglect." [1]
  • I think a polytree graph like can illuminate the halo effect/horn effect
  • Maybe https://en.wikipedia.org/wiki/Berkson%27s_paradox The page even says "The effect is related to the explaining away phenomenon in Bayesian networks."
  • Fundamental attribution error? The simplified DAG would look like: situational influence → observed action ← personality. And the evidence feeds into the "observed action" node, which propagates upwards to the "situational influence" and "personality" nodes. I think the bias is that the "personality" node gets updated too much. Can belief propagation give insight into this?

possibly related