Algorithms to Live By

Autor Brian Christian, Tom Griffiths
en Limba Engleză Paperback – 6 apr 2017

An exploration of how computer algorithms can be applied to our everyday lives, from the acclaimed author of "The Most Human Human" and a cognitive scientist.

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ISBN-13: 9780007547999
ISBN-10: 0007547994
Pagini: 368
Dimensiuni: 129 x 196 x 25 mm
Greutate: 0.25 kg
Editura: HarperCollins Publishers
Colecția William Collins


A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, 'Algorithms To Live By' helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tasks should you take on in the first place? How much messiness should you accept? What balance of new activities and familiar favourites is the most fulfilling? When computers face constraints of time and space, they too must untangle very human questions: how to have better hunches, when to leave things to chance, how to deal with overwhelming choices and how best to connect with others.

And the solutions they've found have much to teach us. Acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms developed for computers can be applied from finding your spouse to finding a parking spot, from organizing your inbox to understanding the workings of memory. Where you have a dilemma, they have a rule, and each fascinating algorithm turns the wisdom of computer science into strategies for human living.

Notă biografică

Brian Christian and Tom Griffiths



Algorithms to Live By

1 Optimal Stopping
When to Stop Looking

2 Explore/Exploit
Th e Latest vs. the Greatest

3 Sorting
Making Order

4 Caching
Forget About It

5 Scheduling
First Things First

6 Bayes's Rule
Predicting the Future

7 Overfitting
When to Think Less

8 Relaxation
Let It Slide

9 Randomness
When to Leave It to Chance

10 Networking
How We Connect

11 Game Theory
The Minds of Others

Computational Kindness