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Algorithms to Live By: The Computer Science of Human Decisions

4.15  ·  Rating details ·  9,105 Ratings  ·  984 Reviews
A fascinating exploration of how insights from 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
Hardcover, 368 pages
Published April 19th 2016 by Henry Holt and Co.
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Stephen Hendrickson classic catch-22. you need to listen to the book to develop the skills needed to determine whether or not to listen to the book. (so far, i really…moreclassic catch-22. you need to listen to the book to develop the skills needed to determine whether or not to listen to the book. (so far, i really enjoy it but i'm not 37% of the way through.)(less)

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Brendon Schrodinger
May 03, 2016 rated it it was amazing
This is one of those books that you pick up in the hope that it lives up to its title but is likely not to because it was written by someone from marketing. Every now and then it pays off, and this is one of those times.

This book spoke volumes to me. I have studied math, and I love math especially applying it to scientific problems. But I have never looked into algorithms, nor have I been taught algorithms. What a shame! I took to the ideas instantly and it all made complete sense - not only the
Brian Clegg
Apr 21, 2016 rated it it was amazing  ·  review of another edition
I was captivated by much of this book. It's the perfect antidote to the argument you often hear from young maths students - 'What's the point? I'll never use this in real life!' This often comes up with algebra (which often is useful), but reflects the way that we rarely cover the most applicable bits of maths to everyday life at high school. Although this book is subtitled 'the computer science of human decisions', it's really about the maths of human decision making (which is often supported b ...more
Oct 26, 2017 rated it it was amazing
I enjoy thinking about algorithms as they are applied to technical problems. So, when I saw this book, I thought, "This is a book written just for me." And, that assessment was absolutely correct. It is a fascinating book, all about how sophisticated algorithms are applicable to everyday problems.

The book starts out describing the "optimal stopping problem." It is also sometimes called the "secretary hiring problem", and I have seen it applied to dating to find a romantic partner, and this book
Sep 04, 2016 rated it really liked it
Recommends it for: Nerds, geeks, productivity lovers
Okay, I loved this book. So what is it about?

The big picture
We encounter many problems in our daily life, for instance, should I park my car here or proceed with the hope of finding a free spot a bit further? Should I try new restaurants or just stick to good old ones I know? How can I find my life's purpose? What is the fastest way I can sort out my books, hmmm, should I even try sorting out my shelves? How can I best schedule my tasks for maximum productivity and many more routine problems lik
Riku Sayuj
A simple algorithm to conceive of literary plots could be to slot them as belonging to one of these categories: Man vs. Nature, Man vs. Self, Man vs. Man & Man vs. Society.

Brian & Tom enlists findings from computer science to guide us through these. Algorithms here are the shortcuts or even the intuitions that guide us through problems that are intractable at first glance. We, apparently, use them everyday. Brian & Tom are here to document this and to show how exactly we can make th
Feb 25, 2016 rated it it was amazing
I really enjoyed this book. It's a nice popular review of research, in a style similar to Malcolm Gladwell. It was fascinating to see the wide-reaching applications of classic algorithms from computer science and also humbling to see how many problems are essentially impossible to truly optimize. However, as luck would have it, there are often simple approximations that give a pretty good solution with very little effort. The authors do a good job giving interesting backstory on the algorithms a ...more
Jul 24, 2016 rated it liked it
Shelves: blue
Even though I'm a computer programmer, I have to say when I saw the title I was a bit put off. Algorithms are what I use for telling a computer what to do, but I'm not sure I feel comfortable with using them to tell myself what to do. Real life is less tidy and binary than the data in a computer.

But, perhaps out of train-wreck curiousity, I picked it up and took a look. The first thing I noticed is that Alison Gopnik gave it a dust jacket endorsement. Ok, you have my full attention now.

Once I st
May 26, 2016 rated it really liked it  ·  review of another edition
Shelves: favorites
An engaging conceptual tour of computational/networking concepts, how they apply in the computer world, and how we can use them to reframe, streamline, and manage a diverse array of real-life problems, both silly and serious. As a reader who knows little about computer science - but loves learning new frameworks, drawing analogies between disparate fields, and finding metaphors for life everywhere - I thoroughly enjoyed this.

Some of my favorite principles/concepts:
* 37% rule of "optimal stoppi
Atila Iamarino
Jul 18, 2016 rated it it was amazing
Excelente mistura de matemática, estatística, computação e problemas do dia-a-dia. Um daqueles livros raros que te ensina coisas novas, novas perspectivas e ainda dá dicas úteis. Uma ótima surpresa. Esperava mais sobre mente e bioquímica mas não fez falta nenhuma.
Feb 16, 2016 rated it really liked it
So many great one-liners in this book.

Stop on Tinder at 37%.

Use thick markers in brainstorming.

All things being equal, it'll last as long as it's lasted.

But lest you think this is another fluffy brain book, it's actually hard computer programming with the occasional laugh-out-loud line. The team behind it are serious academics who have thought deeply about how computers think and how we can use those algorithms to make our lives easier. Which, when you think about it, isn't so crazy, because who
Shayan Kh
Dec 13, 2016 rated it it was amazing
یه سری توضیح فارسی بعد از این ریویو ی انگلیسی هست.

Wow. I did not expect this book to be this good.
Algorithms to live by is aptly named. The authors use computer science problems to tackle everyday problems that every one of us encounters on a daily basis. How should I schedule my day? How should I organize my files? When I found a parking spot, should I park or should I search a bit more?
All of these problems have a right answer, and people mostly don't know the answer. This book has been sent
Jan 09, 2017 rated it really liked it
Shelves: science
It was quite interesting, intriguing ! Once I had an argument with somebody who believed in using "steepest ascent hill climbing approach" while decision making. I personally don't favor hill climbing algorithm.
I think the following two lines matter:

neighbor <---a highest valued successor of the current.
if value(neighbor)> value(current) then replace current with neighbor.

Now, whether people would execute these two lines or not depends on many things. Sometimes they may, sometimes they ma
د.أمجد الجنباز
Apr 16, 2017 rated it it was amazing
يتحدث الكتاب عن تطبيقات في الرياضات والخوارزميات، وكيفية الاستفادة منها في حياتنا اليومية

فمثلا، كم يلزمنا الانتظار والتريث عند البحث عن موظف جديد، أو شريك حياة؟
ماهي افضل طريقة لترتيب البريد الالكتروني والمكتب والكتب؟
هل الأفضل البحث عن فرص جديدة، أو استثمار الفرص القديمة؟

وغيرها من التطبيقات الشيقة والممتعة

الكتاب صعب ويحتاج للتركيز
Nov 01, 2016 rated it it was amazing
One of the authors of this also produced The Most Human Human, a very good book about artificial intelligence that I probably didn't laud in enough detail in my review (although, to be fair, I read it on a Turkish beach and reviewed it well afterward). This book is an even more ambitious attempt to bring computer science concepts to a lay audience, and I thought it was excellent.

Presenting common algorithms as a way of making decisions in ordinary human affairs seems a lot like the computer-sci
Jul 19, 2016 rated it liked it
Definitely valuable material here, but I can't fully recommend it... although I'm having trouble discerning why. Fact is, I read a lot of books of this ilk, and this one didn't strike the right balance between the hard math and the chatty anecdotal moments, as Freakonomics did. Moreover the real life application of these principles are in many cases strikes me as being about as real-world-useful as textbook economic models, with their perfectly logical actors, etc. Good food for thought, nonethe ...more
Huyen Chip
Jan 11, 2017 rated it it was amazing
I read this book per my professor's recommendation and I wasn't disappointed. Throughout the book, there are many moments that made me go: "Wow, that explains a lot!" I'm familiar with most the algorithms mentioned in the book, but I didn't see their application in real life until now.
Mar 17, 2017 rated it really liked it
Shelves: psychology, science
A really excellent book
Todd N
Jan 31, 2018 rated it really liked it
This is the first book I’ve read that was recommended to me by a Goodreads friend I haven’t met irl. (Thanks, Darian!)

Very interesting and readable book that goes through algorithms that are common in computer science and tech fields, gives a bit of history about them, and then shows ways that they could be applied to every day scenarios.

Since I’ve worked in tech on products up and down the OSI stack, I was familiar with a lot of them though I certainly hadn’t sat down in a systematic way and th
Amir The Fat Bookworm
Mar 27, 2017 rated it really liked it
Shelves: philosophy
It was a delightful book for all nerds, STEMians and utilitarians, who would love to analyse every single action by the probable result of doing it.
This book uses some major algorithms that has been used in computer science and mathematics, and showed their implications for daily decisions.
I enjoyed this book, though I would've loved it, if it had more of a structure, and maybe even exercises, for eager audience.

Apr 16, 2017 rated it really liked it
Shelves: non-fic
3.5/5. I'm totally hooked and decided to buy the print version because it is actually that helpful. It could almost rival Thinking, Fast and Slow in terms of how much of (relative) new yet relevant things it taught me. However, the writing is not as neat and the authors try a bit too hard to sell to book to general audience, stretching the implications/applicability of some algorithms. They are not the original researchers, i.e. they didn't actually solve these mathematical/computational problem ...more
Marcin Zaremba
Jun 22, 2017 rated it it was amazing  ·  review of another edition
Zacznę tak: "Algorithms to live by" to najlepsza książka jaką czytałem w tym roku. Jeśli choć trochę ufasz moim recenzjom to kup ją i zacznij czytać/słuchać najszybciej jak możesz.

Ostatni raz kiedy miałem tyle razy mrowienie czaszki oznajmiające mind=blown było za czasów Hararriego i "Sapiens".

Tutaj z kolei autorzy co rozdział serwują mi niesamowite połączenie filozofii, logiki, matematyki (=czy coś jest prawdziwe) i computer sciences (= czy możemy policzyć, że jest prawdziwe). Pozwólcie, że wy
Willian Molinari
Dec 30, 2016 rated it really liked it
This is that kind of book that does not answer questions, it just creates a lot more. :)

I tend to not implement algorithms just for the sake of learning a new one and this is not a good thing. When you read these kinds of books you understand why it's so important to know which kinds of algorithms already exists and which problems they solve.

Real hackers (Read Hackers: Heroes of the Computer Revolution) implement their own code just for the sake of learning something new or for the joy of progra
Peter Mcloughlin
Thorny real world problems often do not have a clear solution. We face a messy world with ill defined problems such as trade offs between things like whether to explore something new or exploit a tried and true method. There are also problems that are ill defined or hard to formulate or maybe a problem has such a large search space that finding the one best solution is impossible. Computer scientists have had to take beautiful computation and mathematics and apply it to real world problems which ...more
Dec 05, 2016 rated it did not like it  ·  review of another edition
Oy. This type of thinking is part of what is wrong with the world and gives nerds a bad reputation.

These algorithms are very theoretical. It's impossible to apply them without making all kinds of assumptions that don't seem generally valid in the real world. And the proponents don't test them to see if they work. For example, they've got one on how to find a parking spot. They ask the guy who came up with it how it works for him. He answers "Oh me, I ride a bike." [rimshot]

Also, the narrator ta
Dec 13, 2016 rated it it was amazing  ·  review of another edition
Shelves: self-improvement
Useful and curiosity pleasing at the same time. I will remember to use in my office and personal life the exponential backoff algorithm for sure. I will also use technique of relaxing difficult problems (the method is used as a modeling strategy in mathematical optimization). This one is cute too: some problems are so complex, they are simply intractable (i. e. no algorithms that can solve them elegantly exist and the only solution -- brute-force search). One more sweet notion: computational kin ...more
Vivian Zhang
Mar 23, 2017 rated it really liked it
I wholeheartedly think every person in computer science can find value in reading this book, whether that be in better informing how to live life optimally, or by applying human tendencies to computer science challenges.
Kulturozpyt Prumerny
Vickreyho aukce - super věc. Jinak jsem se dočetl spoustu věcí a nazíral na ně z nových úhlů. Jakkoli kniha vypadá podle obalu jako algoritmy pro třídění ponožek, je četba přínosná jak pro domácnost, tak pro rodinu a práci.
Graeme Roberts
Mar 28, 2017 rated it it was amazing  ·  review of another edition
Algorithms to Live By is fascinating and delightful. The subject works surprisingly well as an audiobook, and co-author Brian Christian is an engaging narrator. People who reason logically are algorithmic thinkers, whether they are writing computer code or making everyday decisions. The authors move back and forth between those worlds very effectively. A discussion of computer caching, for example, brings out strong analogies with the workings of libraries, filing systems, and the human brain.

Oct 14, 2016 rated it it was amazing
I'd highly recommend this book to anyone who starts (or continues) to study computer science. It provides an important connection or grounding, between somewhat dry science and real life and shows how our everyday actions and decisions are described or affected by core CS algorithms.

I listened to it as an audiobook and I'd say that's the only book with the word "algorithm" in its title so far, that is perfectly suitable for the audiobook format. It doesn't have formulas or source code. It
Jan 13, 2016 rated it it was amazing
What a great read. This book beautifully combines computer science, psychology, behavioral and applied economics, statistics and several other fields into one compelling and insightful book.

It is rich in examples and doesn't bog the reader down with mathematical detail. I found it fascinating that simply using algorithms to make every day decisions will not only reduce your stress, it will genuinely make you a happier person and free up more time to do productive things.

I really enjoyed the flo
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Brian Christian is the author of The Most Human Human, which was named a Wall Street Journal bestseller and a New Yorker favorite book of 2011, and has been translated into ten languages.

His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, The Paris Review, and in scientific journals such as Cognitive Science. Christian has been featured on The Ch
More about Brian Christian
“Seemingly innocuous language like 'Oh, I'm flexible' or 'What do you want to do tonight?' has a dark computational underbelly that should make you think twice. It has the veneer of kindness about it, but it does two deeply alarming things. First, it passes the cognitive buck: 'Here's a problem, you handle it.' Second, by not stating your preferences, it invites the others to simulate or imagine them. And as we have seen, the simulation of the minds of others is one of the biggest computational challenges a mind (or machine) can ever face.” 22 likes
“Don’t always consider all your options. Don’t necessarily go for the outcome that seems best every time. Make a mess on occasion. Travel light. Let things wait. Trust your instincts and don’t think too long. Relax. Toss a coin. Forgive, but don’t forget. To thine own self be true.” 16 likes
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