Weighting Bayesian information in human judgment under uncertainty: a hierarchical theory of cognitive biases
Cognitive biases are typically viewed as departures from normative Bayesian reasoning. Instead, we propose that such biases emerge from a hierarchical cognitive architecture that adaptively regulates the weighting of prior beliefs and incoming evidence when cognitive resources are limited and uncertainty exists. While...