Paper derives and evaluates novel methods for detecting and exploiting decision-biases to improve the prediction of NFL outcomes.
Paper derives and evaluates model-free and model-based methods to predict real-world human behavior using low-fidelity data.
Paper presents behavioral evidence from a simplified poker game that the best 'poker face' for bluffing is a trustworthy face.
Paper proposes a Bayesian model that predicts how natural grasping behavior changes due to the perceptual uncertainty in task.