Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian, Tom Griffiths

Product Details

About the Book

Algorithms to Live By poses a compelling question: since computers and humans face many of the same fundamental challenges, an endless stream of tasks competing for limited time, memory, and attention, could the field of computer science have already solved some of humanity's oldest dilemmas about how best to live? Science writer Brian Christian and Berkeley cognitive scientist Tom Griffiths team up to argue that computer science, often seen as a narrow, highly technical specialty, is actually a rich source of unconventional, mathematically-proven wisdom with genuine practical value across nearly every area of human life.

Drawing on real algorithms developed to solve computing problems, the authors show how these same principles apply directly to everyday human decisions: the "optimal stopping" problem reveals precisely when to stop searching and commit, whether hunting for an apartment, a job candidate, or a life partner, sorting algorithms offer strategies for managing information overload, and caching principles explain how to organize a closet or a desk for maximum efficiency. Through vivid, relatable examples involving secretaries, wardrobes, sports tournaments, and job searches, Christian and Griffiths explore scheduling, randomness, networking, and the surprising cases where making a random decision actually outperforms careful deliberation. Blending rigorous computer science with genuinely accessible storytelling, Algorithms to Live By offers readers a fresh, mathematically grounded lens for approaching some of life's most persistent and universal challenges.

Why Choose This Book?

• A genuinely unique interdisciplinary approach: Bridges computer science and everyday human decision-making in a way few books attempt.
• From an accomplished writer and a respected cognitive scientist: Brian Christian is a noted science writer, and Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley.
• Covers concrete, applicable algorithms: Includes the famous "37% rule" for optimal stopping and other genuinely usable decision frameworks.
• Engaging, relatable storytelling: Uses everyday scenarios like apartment hunting and closet organizing to explain complex computer science.
• Broadly praised across disciplines: Popular among readers interested in psychology, productivity, technology, and decision science alike.

About the Authors

Brian Christian is an American nonfiction author and poet known for writing at the intersection of technology, science, and the humanities. Tom Griffiths is a professor of psychology and cognitive science at the University of California, Berkeley, specializing in human cognition and computational models of the mind. Together, they combine deep technical knowledge with genuinely accessible, story-driven writing.

Who Should Read This Book?

• Readers interested in decision-making, productivity, and cognitive science
• Fans of accessible popular science blending technology and psychology
• Anyone facing a major decision, from job hunting to choosing where to live
• Professionals interested in scheduling, prioritization, and optimization strategies
• Readers of behavioral science bestsellers like Thinking, Fast and Slow

Why Buy From Us?

✅ 100% original, high-quality print
✅ Fast delivery across Bangladesh
✅ Cash on delivery available
✅ Secure packaging, guaranteed quality
✅ Easy return and exchange policy

Order now and discover how computer science can solve life's toughest decisions with Algorithms to Live By — Brian Christian and Tom Griffiths's fascinating, practical guide to the algorithms that can help you live smarter.