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Algorithms to Live By

Algorithms to Live By

By Brian Christian & Tom Griffiths

The Computer Science of Human Decisions. Henry Holt, 2016.

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15 mins read

13 Key insights

A brief summary of Algorithms to Live By

A meaningful guide to applying impersonal computer and mathematical algorithms to your personal life, using sequences of steps and strategies to make better choices and smarter decisions.

Key insights in Algorithms to Live By

1
What do you get from this book? Practical, everyday life applications of the computational rules that govern technology
2
Simple algorithms used by mathematicians and computer scientists can offer better solutions to human problems
3
When we use algorithms, we take the burden of understanding complicated situations off our brains
4
You can use mathematical models to know when to explore new options and when to stop searching
5
Sorting and scheduling techniques computers use to handle complex data can also create order in your life
6
Even if you only have limited information, you can infer and predict from that data with accuracy
7
Unintuitively, you can make better decisions with fewer factors and more relaxed constraints
8
Using small, randomized samples, you can deduce with near-certainty the answer to complex problems
9
Studying computer networking provides insights into how humans use memory and communicate with others
10
In competitive activities, game theory teaches us how to define a rule set that shapes people’s behavior
11
Summary of the key insights
12
Selected critiques in brief
13
Final word

Who should read Algorithms to Live By

Anyone looking for self-improvement • math lovers • social scientists • people who wants better time management skills

About the author of Algorithms to Live By

Brian Christian is a best-selling author and programmer, specializing in the intersection of computing and human behavior; his other books include The Most Human Human. Tom Griffiths is a professor of psychology and cognitive science at Princeton University, and directs the Computational Cognitive Science Lab at the University of California, Berkeley.

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Brian Christian

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Tom Griffiths

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