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Book

Algorithms to live by : the computer science of human decisions / Brian Christian and Tom Griffiths.

Available copies

  • 1 of 1 copy available at Sage Library System. (Show)
  • 1 of 1 copy available at Columbia Gorge Community College. (Show)
  • 1 of 1 copy available at Columbia Gorge Community College Library.

Current holds

0 current holds with 1 total copy.

Summary:

"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, 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 the 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 managing one's time, Algorithms to Live By transforms the wisdom of computer science into strategies for human living."--Back cover.
Location Call Number / Copy Notes Barcode Shelving Location Circulation Modifier Age Hold Protection Active/Create Date Status Due Date
Columbia Gorge Community College Library 153.43 CHRIS 2017 (Text) 23892000943962 Main Collection Book None 06/15/2018 Available -

Record details

  • ISBN: 1250118360
  • ISBN: 9781250118363
  • Physical Description: xii, 351 pages : illustrations ; 24 cm
  • Edition: First Picador edition.
  • Publisher: New York : Picador : 2017.

Content descriptions

Bibliography, etc. Note:
Includes bibliographical references (pages 315-334) and index.
Formatted Contents Note:
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.
Summary, etc.:
"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, 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 the 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 managing one's time, Algorithms to Live By transforms the wisdom of computer science into strategies for human living."--Back cover.
Subject: Human behavior > Mathematical models.
Problem solving.
Computer simulation.
Computer algorithms.
Computer algorithms.
Computer simulation.
Human behavior > Mathematical models.
Problem solving > Mathematics.

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