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.

About the Authors

Brian 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.

Tom Griffiths is the Henry R. Luce Professor of Information Technology, Consciousness and Culture in the Departments of Psychology and Computer Science at Princeton University. He also directs Priceton’s Computational Cognitive Science Lab, a research group focused on understanding the mathematical foundations of human cognition, and the Princeton Laboratory for Artificial Intelligence, a new effort that supports innovative research efforts in AI and related fields. Griffiths is coauthor of the book Algorithms to Live By and has published over 400 academic papers in venues that include Science, Nature, and the Proceedings of the National Academy of Sciences.

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