Why less can be more : a Bayesian framework for heuristics

When making decisions under uncertainty, one common view is that people rely on simple heuristics that deliberately ignore information. One of the greatest puzzles in cognitive science concerns why heuristics can sometimes outperform full-information models, such as linear regression, which make ful...

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Bibliographic Details
Main Author: Parpart, Paula
Other Authors: Love, B. C. ; Speekenbrink, M.
Published: University College London (University of London) 2017
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.746899