![]() ![]() The "explore/exploit" trade-off refers to the need to balance the tried and tested with the new and risky. Someone allots 37% of their time to research before they make a decision, then commits to the very next "best choice" they find. ![]() The "37% rule" refers to a series of steps, or algorithms, that someone must follow to make the best decision within a set amount of time. In Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian and Tom Griffiths, programmer and researcher Brian Christian and psychology and cognitive science professor at UC Berkeley Tom Griffiths share the many ways that algorithms shape everything from the way we remember things to how we make big and small decisions. Algorithms are everywhere, from following a recipe to the order in which you sort your email. Can computer science teach us the secrets of life? Perhaps not, but it can shed light on how certain everyday processes work and how to exploit them. ![]()
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