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.
All 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 problems 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 simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
©2016 Brian Christian and Tom Griffiths (P)2016 Brilliance Audio, all rights reserved.
I have an engineering background, but little formal computer science training. The text felt approachable for a general audience and the authors weave in some good stories. I was familiar with the topics on probability, randomness and optimization, yet found valuable new insights. Recommended to anyone with an interest in computing, algorithms and decision making.
I am an avid listener. I listen between 75-100 hours per month on my iPhone: 60% fiction to 40% non-fiction.
If you are into computers, this book is a must, and if you are not, it is still very interesting. You get to hear about numerous different algorithms that affect our daily lives in a unique and interesting narrative. This book is written by authorities. One of the authors is an accomplished Professor and the other an extremely accomplished author.
This book seeks to shed light on the various algorithms that shape our lives that computer science has in many cases solved. This books does not have equations or heavy theory so lay-listeners are safe, but there is enough meat on the bone for us folks in the biz something to chew on. Give it a listen.
Gave a good account on the role of algorithms and its reflection on human behavior. The maths are succinctly explained without having to resort to pen and paper. Great inspirational book.
The answer is 37% to the optimal stopping problem. If you expect to date 20 people, how do you know whether to settle or move on to the next person. To maximize your expected result, don't make a decision until you've gone through 37% of the pool to form your criteria. In this example, it would be 7. Then after that, the next person you date who is better than all the previous should be the one you select. If you enjoy mathematics or computer science, you'll enjoy this book.
The book offers a truly interesting view on decision making we have to do in everyday life. It has been a few weeks since I read it and I now do not recall exactly all the approaches described, but I do use some of the them and I believe it gives me some extra energy and time every day - very useful resource these days!
I really enjoyed this book all the way through. After listening, I feel like more mentally efficient and organized. The chapter in caching was especially helpful for organizing myself a bit better. Highly recommend.
Narration is good.
Ideas presented are both intriguing and actionable, especially if you already have an engineering or process improvement mindset.
Great for managers, game players and people who understand the value of data-backed decision making.
If the summary of this book sounds interesting to you, then go for it, this book won't disappoint you :-)
A book that changed my view on how to approach challenges in life. This book gave not only insights but also concrete, usable strategies derived from researches of computer science, also drawing connections to relevant fields of social sciences. Clean, clear, well-supported, thoughtful, and substantial all the way to the end.An extraordinary piece of nonfiction.
since embarking on the complexity and simplicity of writing code myself I have wondered about the application of those ideas to writing legislation, decision making and what I'd call optimal morality. this book goes satisfying down these roads with appropriate detail.
"Why good people get it wrong"
If you've ever felt the odd one out; ever doubted your decisions; always seemed to go against the herd out of compassion, only to see them right: here is your redemption. A book implicitly about the Buddhist conundrum: Why bad things happen to good people (or, why good people get it wrong).
Report Inappropriate Content
If you find this review inappropriate and think it should be removed from our site, let us know. This report will be reviewed by Audible and we will take appropriate action.