Integrating Judgment and Outcome Decomposition: Exploring Outcome-based Learning Dynamics

The authors present a preliminary theory of outcome-based learning under uncertainty. We created this theory by integrating social judgment theory and signal detection theory using the system dynamics approach. This integration offers a unique framework to explore the fundamental mechanisms associated with learning dynamics using outcome feedback because it allows the decomposition of the judgment process and its resulting outcomes.