BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Algorithms to Live By: The Computer Science of Human Decisions

Algorithms to Live By: The Computer Science of Human Decisions

Algorithms to Live By: The Computer Science of Human Decisions
Stock photo: cover may vary

Algorithms to Live By: The Computer Science of Human Decisions Paperback - 2017

by Christian, Brian; Griffiths, Tom

Add to wish list
  • Used
  • very good
  • Paperback
Used - Very good

Description

Holt Paperbacks. Reprint. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Ask the seller a question Add to wish list
A$10.34
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Ships from BooksRun (Pennsylvania, United States)

Details

  • Title Algorithms to Live By: The Computer Science of Human Decisions
  • Author Christian, Brian; Griffiths, Tom
  • Binding Paperback
  • Edition Reprint
  • Condition Used - Very good
  • Pages 368
  • Volumes 1
  • Language ENG
  • Publisher Holt Paperbacks, NY
  • Publication date 2017-04-04
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 1250118360-8-6
  • ISBN 9781250118363 / 1250118360
  • Weight 0.88 lbs (0.40 kg)
  • Dimensions 9.1 x 6.1 x 1 in (23.11 x 15.49 x 2.54 cm)
  • Category Science
  • Library of Congress subjects Computer simulation, Human behavior - Mathematical models
  • Library of Congress Catalogue Number 2015032177
  • Dewey Decimal Code 153.43
  • Quantity available 1

About BooksRun Pennsylvania, United States

Specialising in: Textbooks
Biblio member since 2016

BooksRun - best place to buy, sell or rent cheap textbooks

Terms of Sale:

30 days return guarantee. 10% restocking fee applies to discretionary returns

Browse books from BooksRun

Reader reviews for Algorithms to Live By: The Computer Science of Human Decisions

From the publisher

An exploration of how computer algorithms can be applied to our everyday lives to solve common decision-making problems and illuminate the workings of the human mind.

What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they've found have much to teach us.

In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers 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 peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Media reviews

Citations

  • Choice, 03/01/2017, Page 0

About the author

Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors' choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.

Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.

tracking-