Learning to Become Rational: The Case of Self-Referential Autoregressive and Non-Stationary Models

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This book is a study on the asymptotic behaviour of boundedly rational learning procedures in self-referential models. It reports important results of current research on this topic. These results, e.g., global convergence results for autoregressive and for non-stationary models, considerably extend the boundedly rational learning approach.