All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades. And the solutions they've found have much to teach us.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the simple, precise algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Regulärer Preis: 22,95 €
Für 1 Guthaben kaufen
Für 22,95 € kaufen
Von Mostafa Nageeb Am hilfreichsten 04.01.2017
A must read for both CS and non-CS people alike
I never thought I would enjoy an algorithms book as much as I enjoyed this one. It has a unique perspective combining history, real world problems, and deeply technical topics in a fun, simple English format.
If you studied computer science, it will give you the history and the why of many of the things you studied as well as expand your knowledge to other areas you might have heard of but never worked on.
If you didn't study computer science, it will help you a lot to understand computational thinking, why things the way they are, and surprise surprise, you will learn about the limitations of computers and the trade offs software developers have to make to reach a working solution.
In all cases, you will learn how to use computational thinking to make decisions in life, and some of these will be your algorithms to live by.
4 von 4 Hörern fanden diese Rezension hilfreich