These notes introduce the concept of perfect forecasting rules which provide best least-squares predictions along the evolution of an economic system.
The framework for nonparametric adaptive learning schemes is developed and it is argued that plausible learning schemes should aim at estimating a perfect forecasting rule taking into account the correct feedback structure of an economy.
A link is provided between the traditional rational-expectations view and recent behavioristic approaches.
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