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Brian Christian and Tom Griffiths: Algorithms to Live By

CIIS Public Programs

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Navigating Choices: The Optimal Stopping Problem

This chapter discusses the concept of optimal stopping problems through relatable examples like parking and dating, illustrating how individuals balance current opportunities against the search for better options. It introduces the 'look then leap rule' for optimizing decision-making and addresses the discrepancies between human intuition and formal algorithms. By exploring variations of the secretary problem and the influence of acceptance rates, the chapter highlights the complex interplay between risk, choice, and human cognition.

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