Algorithms to Live By
The Computer Science of Human Decisions
(Sprache: Englisch)
A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind. They explain how to have better hunches and when to leave things to...
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A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind. 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.
Klappentext zu „Algorithms to Live By “
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 mindAll 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.
Inhaltsverzeichnis zu „Algorithms to Live By “
ContentsIntroduction
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
Autoren-Porträt von Brian Christian, Tom Griffiths
Christian, BrianBrian Christian is the author of The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive, which was a Wall Street Journal bestseller and a New Yorker favorite book of the year. Alongside Steven Pinker and Daniel Kahneman, he was shortlisted for the Best Book of Ideas prize in the UK.
Griffiths, Tom
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has received widespread recognition for his scientific work, including awards from the American Psychological Association and the Sloan Foundation.
Bibliographische Angaben
- Autoren: Brian Christian , Tom Griffiths
- 2016, 368 Seiten, Masse: 15,8 x 23,3 cm, Kartoniert (TB), Englisch
- Verlag: Henry Holt
- ISBN-10: 1627798986
- ISBN-13: 9781627798983
- Erscheinungsdatum: 05.04.2016
Sprache:
Englisch
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