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The ideas in "Algorithms to Live By: The Computer Science of Human Decisions" have significant potential for real-world implementation. The book explores how algorithms can be applied to everyday life, helping us make decisions, sort information, and manage time more efficiently. For instance, the concept of 'scheduling algorithms' can be used to manage tasks in our daily lives, while 'sorting algorithms' can help us organize our emails or files. The 'optimal stopping theory' can guide us in making choices when dating or house hunting. These are just a few examples of how the principles in the book can be applied in real-world scenarios.
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John Anderson, a psychologist and computer scientist, reexamined Ebbinghaus' work in 1987 to see if he could design computer systems around the human brain. He discovered that our brains forget information when it is no longer relevant to the world around us. Anderson analyzed headlines from The New York Times and found that a word is most likely to reappear right after first being used. The likelihood of seeing it again reduced more over time. Side by side, the appearance of the chart looked nearly identical to Ebbinghaus' data.
Asked on the following book summary:
Can computer science teach us the secrets of life? Perhaps not, but they can shed light on how certain everyday processes work and how to exploit them...
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