Beyond the Black Box: Interpretable Models of Human Randomisation Failures
The episode discusses a paper on human randomisation failures, using data from O'Neill's four-card game. Hosts compare interpretable models like LASSO and modified EWA against black-box LSTMs, finding that simple models recover most predictive power, driven mainly by players' own repeat-and-avoid behaviour, with implications for exploitability in strategic settings.