Algorithms to live by : the computer science of human decisions /

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...

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Bibliographic Details
Main Authors: Christian, Brian, 1984
Group Author: Griffiths, Tom, 1978
Published: Henry Holt and Company,
Publisher Address: New York :
Publication Dates: 2016.
Literature type: Book
Language: English
Edition: First international edition.
Subjects:
Summary: 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
Carrier Form: x, 351 pages : illustrations, forms ; 25 cm
Bibliography: Includes bibliographical references (pages [315]-334) and index.
ISBN: 9781627790369 (hardcover) :
1627790365 (hardcover)
9781627790376 (electronic book)
1627790373 (electronic book)
9781627798983
1627798986
9781250118363 (paperback)
1250118360 (paperback)
Index Number: BF39
CLC: TP11
Call Number: TP11/C555
Contents: Optimal stopping : when to stop looking -- Explore/exploit : the latest vs. the greatest -- Sorting : making order -- Caching : forget about it -- Scheduling : first things first -- Bayes's Rule : predicting the future -- Overfitting : when to think less -- Relaxation : let it slide -- Randomness : when to leave it to chance -- Networking : how we connect -- Game theory : the minds of others -- Conclusion : computational kindness.