Summary:
- This article investigates the cognitive mechanisms underlying human decision-making under uncertainty, specifically focusing on how Bayesian inference models account for heuristic-based biases.
- The research utilizes experimental behavioral data combined with computational modeling to demonstrate how prior knowledge influences the perception of probabilistic outcomes in complex environments.