Algorithms to Live By (The Computer Science of Human Decisions)

ISBN: 9781627790369
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Overview

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind

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 issues 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 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 memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

This book title, Algorithms to Live By (The Computer Science of Human Decisions), ISBN: 9781627790369, by Brian Christian, Tom Griffiths, published by Henry Holt and Co. (April 19, 2016) is available in hardcover. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.

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Product Details

Author:
Brian Christian, Tom Griffiths
Format:
Hardcover
Pages:
368
Publisher:
Henry Holt and Co. (April 19, 2016)
Language:
English
ISBN-13:
9781627790369
ISBN-10:
1627790365
Weight:
19.52oz
Case Pack:
20
File:
Macmillan Trade-Macmillan_Print_US_Trade_20240102220258-20240102.xml
Folder:
Macmillan Trade
As low as:
$16.32
Feed Qty:
50
List Price:
$33.99
Publisher Identifier:
P-STM
Discount Code:
A
Dimensions:
6.55" x 9.55" x 1.15"
Audience:
General/trade

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