
Brian Christian and Tom Griffiths: Algorithms to Live By
CIIS Public Programs
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The Complexity of Prediction and the Copernican Principle
This chapter explores the difficulties of making predictions when data is scarce, emphasizing the complexity of the prediction problem. Using the Berlin Wall as a case study and introducing the Copernican principle, it demonstrates the need for a wider perspective to improve reasoning and reduce uncertainty in forecasting.
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