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...

We present an experiment for the study of learning in a complex task which requires both memorisation and the ability to process several pieces of information. The outcome of an action, for which immediate feedback is given, depends on the context (i.e. one of thirty-two sequences of three...

Neural network and machine learning artificial intelligences (AIs) need comprehensive data sets to train on. Those data sets will often be composed of images, videos, audio, or text. All those things are copyrighted. Copyright law thus stands as an enormous potential obstacle to training AIs....