Title: Algorithms to Live By: The Computer Science of Human Decisions
Author: Brian Christian
First published April 19, 2016
368 pages, Hardcover
ISBN: 9781627790369 (ISBN10: 1627790365)
Rating: 4.13
Overview
Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian is an eye-opening book that explores how computer algorithms can help solve common decision-making problems and bring to light the inner workings of the human mind. This book delves into the everyday dilemmas that we all face, such as how to make the most of our limited time and space, and how to strike a balance between the things we love and new experiences.
While these may seem like uniquely human issues, computer scientists have been tackling similar problems for decades. In this incredibly insightful read, Christian and cognitive scientist Tom Griffiths show how computer algorithms can help us make better decisions, take chances when necessary, and connect with others in meaningful ways.
Whether you’re looking for a soulmate or a parking spot, this book provides practical strategies that can be applied to all aspects of life. Transforming the wisdom of computer science into real-world solutions, Algorithms to Live By is a must-read for anyone seeking to improve their decision-making skills and lead a more fulfilling life.
About the Author
Meet Brian Christian, a renowned author and scholar who has penned two notable books, The Most Human Human and Algorithms to Live By. His works have received critical acclaim, with the former being a Wall Street Journal bestseller and a New York Times Editors’ Choice, while the latter was an Amazon best science book of the year and a MIT Technology Review best book of the year.
Christian’s writing has been translated into nineteen languages and has been featured in top publications such as The New Yorker, The Atlantic, Wired, and The Guardian. He has also made appearances on popular shows like The Daily Show with Jon Stewart, Radiolab, and The Charlie Rose Show.
Christian has shared his insights at numerous institutions, including Google, Facebook, and the London School of Economics, and has won several awards, including a fellowship at Yaddo and the MacDowell Colony and an award from the Academy of American Poets.
Originally from Wilmington, Delaware, Christian has degrees in philosophy, computer science, and poetry from Brown University and the University of Washington. He is currently a Visiting Scholar at the University of California, Berkeley and the Director of Technology at McSweeney’s Publishing.
He actively contributes to open-source projects like Ruby on Rails and resides in San Francisco.
Editoral Review
Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian is a fascinating exploration of the intersection between computer science and human decision-making. Christian, a writer and computer scientist, combines his expertise in both fields to offer readers a unique perspective on how algorithms and computational thinking can be applied to everyday life.
The book is divided into several sections, each of which explores a different aspect of human decision-making. Some of the topics covered include sorting, caching, scheduling, and game theory.
Using real-world examples and anecdotes, Christian demonstrates how these concepts can be applied to everything from finding a romantic partner to organizing your closet.
Despite its heavy focus on computer science, Algorithms to Live By is written in a highly accessible and engaging style. Christian has a knack for explaining complex concepts in a way that is easy to understand, and his writing is full of wit and humor.
The book is also well-structured, with each chapter building upon the previous one to create a coherent and compelling narrative.
One of the strengths of Algorithms to Live By is its ability to draw connections between seemingly disparate fields. Christian seamlessly weaves together insights from computer science, psychology, economics, and philosophy to create a comprehensive and thought-provoking analysis of human decision-making.
The book also has a wide range of cultural and historical references, making it a fascinating read for anyone interested in the intersection of science and culture.
However, the book is not without its flaws. Some readers may find the heavy reliance on computer science jargon and mathematical formulas to be intimidating or off-putting.
Additionally, the book can be repetitive at times, with certain concepts being discussed multiple times throughout the text.
Despite these limitations, Algorithms to Live By is a highly recommended read for anyone interested in how computational thinking can be applied to everyday life. Whether you’re a computer scientist, a businessperson, or simply someone trying to make better decisions, this book offers valuable insights and practical advice.
It is a well-written and engaging exploration of a fascinating topic, and one that is sure to leave readers thinking about how they make decisions long after they’ve put the book down.
Rating: 4/5
