APS
29th APS Annual Convention
The Paradox of Accuracy and Error in Decision-Making
Although systematic errors in human decision-making have been widely documented, decision-making often adheres surprisingly well to Bayesian rationality. This symposium addresses this paradox by identifying the underlying cognitive features – such as sampling, representation, and morality concerns – that predict when and why accuracy or error occurs.
Chairs & Discussants
- Jack CaoChair
Harvard University
Presentations
- Where Do Hypotheses Come from?Samuel Gershman, Ishita Dasgupta, Eric Schulz
- Motivated Bayesians: Feeling Moral While Acting EgoisticallyMichael Norton, Francesa Gino, Roberto Weber
- Moral Fairness and Statistical Likelihood in Belief-UpdatingJack Cao, Max Kleiman-Weiner, Mahzarin Banaji
- Implicit Updating of Object Representations Via Statistical RegularitiesJiaying Zhao, Ru Qi Yu