User:IssaRice/Belief propagation and cognitive biases

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Revision as of 06:16, 3 September 2018 by IssaRice (talk | contribs)
  • "Several cognitive biases can be seen as confusion between probabilities and likelihoods, most centrally base-rate neglect." [1]
    • confusing p-values with Pr(null hypothesis | data) seems like another instance of this.
    • confidence interval vs credible interval also does this flipping about the conditional bar.
  • 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?
  • This one might be too simple, but the idea of screening off I think can be visualized in a Bayesian network. Not sure where the belief propagation would come in though... Related here are [2]/stereotyping.
  • Hindsight bias seems like an evidence node misfiring and causing updates in the graph?

possibly related