This book examines a conceptual framework for studying strategic learning. Topics include interactive learning problem …; reinforcement and regret; equilibrium; conditional no-regret learning; prediction, postdiction, and calibration; fictitious play and … its variants; Bayesian learning; and hypothesis testing. …

We present an experiment for the study of learning in a complex task which requires both memorisation and the ability …

Neural network and machine learning artificial intelligences (AIs) need comprehensive data sets to train on. Those data … learning the ideas conveyed by that expression. That’s what is going on with training data in most cases. The AI wants photos …

-maker. We derive the researcher's equilibrium learning strategy by solving an auxiliary single-player problem. The attribute … excessive response to new information, she forgoes learning altogether. In an organizational context, we show that a manager …