Description: 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. Brian Christian and Tom Griffiths Contents Introduction Algorithms to Live By 1 Optimal Stopping When to Stop Looking 2 Explore/Exploit Th e Latest vs. the Greatest 3 Sorting Making Order 4 Caching Forget About It 5 Scheduling First Things First 6 Bayes's Rule Predicting the Future 7 Overfitting When to Think Less 8 Relaxation Let It Slide 9 Randomness When to Leave It to Chance 10 Networking How We Connect 11 Game Theory The Minds of Others Conclusion Computational Kindness Notes Bibliography Acknowledgments Index
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EAN: 9781250118363
UPC: 9781250118363
ISBN: 9781250118363
MPN: N/A
Book Title: Algorithms to Live by: The Computer Science of Hum
Number of Pages: 368 Pages
Publication Name: Algorithms to Live by : the Computer Science of Human Decisions
Language: English
Publisher: Holt & Company, Henry
Publication Year: 2017
Item Height: 0.8 in
Subject: Cognitive Science, Programming / Algorithms, Computer Simulation, Decision-Making & Problem Solving, Computer Science, General, Social Aspects / Human-Computer Interaction
Type: Textbook
Item Weight: 13.8 Oz
Item Length: 9.2 in
Author: Tom Griffiths, Brian Christian
Subject Area: Computers, Education, Science, Psychology
Item Width: 6.2 in
Format: Trade Paperback