Algorithms to Live By
The Computer Science of Human Decisions
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.
Praise For Algorithms to Live By: The Computer Science of Human Decisions…
“A remarkable book... A solid, research-based book that’s applicable to real life. The algorithms the authors discuss are, in fact, more applicable to real-life problems than I’d have ever predicted.... It’s well worth the time to find a copy of Algorithms to Live By and dig deeper.”
“By the end of the book, I was convinced. Not because I endorse the idea of living like some hyper-rational Vulcan, but because computing algorithms could be a surprisingly useful way to embrace the messy compromises of real, non-Vulcan life.”
—The Guardian (UK)
“I absolutely reveled in this book... It's the perfect antidote to the argument you often hear from young math students: ‘What's the point? I'll never use this in real life!’... The whole business, whether it's the relative simplicity of the 37% rule or the mind-twisting possibilities of game theory, is both potentially practical and highly enjoyable as presented here. Recommended.”
—Popular Science (UK)
“An entertaining, intelligently presented book... Craftily programmed to build from one good idea to the next... The value of being aware of algorithmic thinking—of the thornier details of ‘human algorithm design,’ as Christian and Griffiths put it—is not just better problem solving, but also greater insight into the human mind. And who doesn’t want to know how we tick?”
“Compelling and entertaining, Algorithms to Live By is packed with practical advice about how to use time, space, and effort more efficiently. And it’s a fascinating exploration of the workings of computer science and the human mind. Whether you want to optimize your to-do list, organize your closet, or understand human memory, this is a great read.”
—Charles Duhigg, author of The Power of Habit
“In this remarkably lucid, fascinating, and compulsively readable book, Christian and Griffiths show how much we can learn from computers. We’ve all heard about the power of algorithms—but Algorithms to Live By actually explains, brilliantly, how they work, and how we can take advantage of them to make better decisions in our own lives.”
—Alison Gopnik, coauthor of The Scientist in the Crib
“I’ve been waiting for a book to come along that merges computational models with human psychology—and Christian and Griffiths have succeeded beyond all expectations. This is a wonderful book, written so that anyone can understand the computer science that runs our world—and more importantly, what it means to our lives.”
—David Eagleman, author of Incognito: The Secret Lives of the Brain
Henry Holt and Co., 9781627790369, 368pp.
Publication Date: April 19, 2016
About the Author
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.