[PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian


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  1. says: [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian

    summary Algorithms to Live By The Computer Science of Human Decisions [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian 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

  2. says: Brian Christian ñ 3 review free read ✓ eBook or Kindle ePUB ñ Brian Christian [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian

    summary Algorithms to Live By The Computer Science of Human Decisions [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian Brian Christian ñ 3 review 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 hu

  3. says: summary Algorithms to Live By The Computer Science of Human Decisions [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian free read ✓ eBook or Kindle ePUB ñ Brian Christian

    free read ✓ eBook or Kindle ePUB ñ Brian Christian Brian Christian ñ 3 review [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian I enjoy thinking about algorithms as they are applied to technical problems So when I saw this book I thought This is a book

  4. says: [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian free read ✓ eBook or Kindle ePUB ñ Brian Christian

    summary Algorithms to Live By The Computer Science of Human Decisions [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian free read ✓ eBook or Kindle ePUB ñ Brian Christian Okay I loved this book So what is it about?The big pictureWe 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 schedul

  5. says: [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian Brian Christian ñ 3 review summary Algorithms to Live By The Computer Science of Human Decisions

    [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian 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 computerBut perhaps out of train wreck curiousity I picked it up and took a look The first thing I noticed is that Alison Gopnik

  6. says: [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian Brian Christian ñ 3 review free read ✓ eBook or Kindle ePUB ñ Brian Christian

    summary Algorithms to Live By The Computer Science of Human Decisions Brian Christian ñ 3 review [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian 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

  7. says: Brian Christian ñ 3 review [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian

    [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian Brian Christian ñ 3 review free read ✓ eBook or Kindle ePUB ñ Brian Christian 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 woul

  8. says: [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian

    summary Algorithms to Live By The Computer Science of Human Decisions [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian An engaging conceptual tour of computationalnetworking 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 b

  9. says: summary Algorithms to Live By The Computer Science of Human Decisions Brian Christian ñ 3 review [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian

    [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian In this book the authors explain famous algorithms in real world context My notes from this book 1 Optimal Stopping2 Old

  10. says: [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian

    [PDF] Algorithms to Live By The Computer Science of Human Decisions AUTHOR Brian Christian Brian Christian ñ 3 review summary Algorithms to Live By The Computer Science of Human Decisions So many great one liners in this bookStop on Tinder at 37%Use thick markers in brainstormingAll things being eual it'll last as long as it's lastedBut lest you think this is another fluffy brain book it's actually

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free read ✓ eBook or Kindle ePUB ñ Brian Christian

Algorithms to Live By The Computer Science of Human Decisions

Algorithms to Live By The Computer Science of Human Decisions review ☆ eBook or Kindle ePUB Ivities and familiar favorites is the most fulfilling These may seem like uniuely human uandaries but they are not computers too face the same constraints so computer scientists have been grappling with their version of such issues for decades And the solutions they've found have much to teach usIn a dazzlingly interdisciplinary work acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algo. 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 them efficient by exploring the idea of human algorithm design searching for better solutions to the challenges people encounter every day The central thesis is that it s best to use shortcuts to improve your probability of success and remember that perfection is the enemy of the good The book s algorithms are intended to reduce time spent puzzling conserve energy for the things that matterWhen it comes to the first two categories computer science is shown to be a good guide to problems created by the fundamental structure of the world and by our limited capacities for processing information As with all the sciences before it computer science and data science are pretty effective in dealing with these issues And the computational approach seems to be a remarkably useful improvement in dealing with areas like self control or complex everyday decisionsIn this part of the book when we deal with Man vs Nature Man vs Self we mostly encounter well defined problems and potential algorithms to deal with them We have a nice variety of approaches hereFirst we are given a taste of the Optimal stopping problems which spring from the irreversibility and irrevocability of time How do you decide when to stop searching be it for a the perfect mate the perfect employee the perfect job or the perfect weekend movie The answer seems to be simple 37% you stop once 37% of your options have been checked out Much useful than it sounds this number is the output of an algorithm Whether it s an apartment a parking space or a spouse the right moment to stop searching and start choosing falls under the umbrella of problems called optimal stopping The general solution to optimal stopping problems reveals that you should spend 37 percent of your time gaining an impression of what s out there and the rest of the time selecting anything better than the average of what you observed thus far Need to rent an apartment in three weeks Simply take one week to observe and two weeks to pounce on the next best thing This means that you have a good sample of the options you have so you don t jump to early decision and miss out on the good choices that were just around the corner and at the same time you don t waste all your time only searching Then we are introduced to the exploreexploit dilemma springing from time s limited supply should we revisit favourite restaurants and places and ensure a good time exploit or should we explore bravely out to new experiences and places explore in the hope that we might stumble on something incredible If we don t explore we might miss out on a lot of YOLO stuff but if we only explore and do not exploit the good stuff we have already discovered a favourite dish a cared for home spouse close friends etc then we might me missing out on even SO how do we figure out an optimal ration between ExploreExploit Turns out computer scientists have been working on finding this balance for than fifty years They even have a name for it the exploreexploit tradeoff The exploreexploit tradeoff tells us how to find the balance between trying new things and enjoying our favourites The answer is to think about the time you have left the time you have the your strategy should shift So the young should explore and the elderly should exploit and wherever you are in that continuum you should ration the Es accordingly YOLO after allThere are Relaxation and randomization emerge as vital and necessary strategies for dealing with the ineluctable complexity of challenges like trip planning and vaccinations Sorting theory tells us how and whether to arrange our offices Caching theory tells us how to fill our closets Scheduling theory tells us how to fill the unforgiving minute well etcThen comes the next two categories Man vs Man and Man vs Society problems these are in effect the problems that we pose and cause each other Here the authors move away from computer science and enlists mathematics as well specifically and predictably game theory to help us out And the cross pollination between game theory and computer science gives us algorithmic game theory for tackling issues like investing bubble and even plain arguments The solutions are much less rigorous here with 1 the advice to change the game if the game threatens to go into less than optimal euilibriums and 2 an exhortation to be computationally kind to reduce the cognitive load of the participants emerging as the main algorithms to live by when it comes to living in society So as always the book would seem to be teaching us again that no matter how computationally adept we are dealing with each other is something that just can t be fitted into any algorithm formula or thumb rule We gotta wing it

summary Algorithms to Live By The Computer Science of Human Decisions

Algorithms to Live By The Computer Science of Human Decisions review ☆ eBook or Kindle ePUB Rithms used by computers can also untangle very human uestions 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 memory Algorithms to Live By transforms the wisdom of computer science into strategies for human living. In this book the authors explain famous algorithms in real world context My notes from this book 1 Optimal Stopping2 Old people don t lose memory they have so much of it that it slows their system3 Procrastination can be seen as an efficient scheduling problem with wrong priority4 Predictive Models Gaussian Power Law Erlang5 Over fitting It really is true that a company will build whatever the CEO decides to measure6 Penalize complexity Occam s Razor Principle7 A bit of conservative a certain bias in favor of history can buffer us against the boom and bust cycle of fads8Over fitting Examples Military Training taste buds9 Early Stopping Appropriate for Uncertainty10 The prefect is the enemy of the good11 Continuous Relaxation for discrete optimization12 Lagrangian Relaxation You don t HAVE to obey the law There are conseuences to everything and you get to decide whether you want to face those13 Random Sampling Miller Rabin Primality Test14 Charity GiveDirectly uses random samples of review15 Bloom filters for search engine crawls16 Simulated Annealing Random restart hill climbing17 Randomness heart of creativity18 Networking Circuit Switching Packet Switching19 Exponential backoff20 AIMD Additive Increase Multiplicative Decrease TCP s Sawtooth21 Game Theory Price of Anarchy Selfish routing only has 43 as it s price of Anarchy that s how internet is working fine infact 33% close to optimal22 Price of Anarchy is very high in case of Prisoner s Dilemma23 Tragedy of Commons Pollution Climate Change Number of Vacations employees use etc24 Game Theory Information Cascade25 Vickrey Auction I recommend this book to all

free read ✓ eBook or Kindle ePUB ñ Brian Christian

Algorithms to Live By The Computer Science of Human Decisions review ☆ eBook or Kindle ePUB 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 mindAll 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 act. 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 problemsThe 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 points out that it can also be applied to looking for an apartment in a seller s market or searching for a parking space It can be summed up by the phrase uit while you re ahead Basically you have a finite amount of time to complete a search for the best item or person What do you do It can be shown mathematically that you should conduct a search for 37% of your total available time without making any decisions Then at the very next time you find an item or person that is better than all of the previous ones you should jump on it I read about this beforehand but I didn t realize that 37% comes from 1e where e is the natural exponent The next topic in the book is the dichotomy between explore and exploit That is to say when you are looking for something to do will you try something new explore or repeat something that has pleased you in the past exploit The answer has to do with how much time you have in this situation Movie seuels are all about exploiting because movie revenues are decreasing If you are new to an area you will explore restaurants but if you are moving away soon you will return to restaurants you have previously visited I enjoyed how this issue is related to the multi armed bandit problem This is a mathematical problem that has lots of applications choosing the best slot machine in a casino for example or designing a web site that will maximize profits for a companySorting is a big topic in the book It turns out that top poker players sort themselves out and don t want to play with players they think are better Libraries use an inefficient caching system putting recent acuisitions in front Instead they should put the most popular books in front The Naguchi filing system involves returning all files to the extreme left This goes against the recommendations of efficiency experts who recommend sorting by topic Leaving a pile of papers on top of a desk is an example of the MOST efficient filing system I enjoyed reading an anecdote about Barack Obama visiting Google before he became president At Google he was treated to a pretend job interview He was asked if you had to design an algorithm to sort a million 32 bit integers what would you do He replied that he would not use a bubble sort algorithm and all the people in the audience applauded his correct answerI enjoyed reading about human memory from an algorithmic point of view Memory recall is a problem of organization It was fascinating to read that a graph of the probability of remembering something as a function of elapsed time exactly mimics the probability that a word appears in a newspaper headline twice in a rowKnowing makes it harder to remember things what we call memory decline is actually just learning A brain fart is actually just a cache missRelated to sorting are various problems of scheduling Examples from the book include multiple laundry loads to minimize total washing plus drying time and minimizing the rotting of food from a CSA Community Supported AgricultureNo book on everyday applications of algorithms should bypass Bayesian reasoning and this is an important subject in this book Our memories of images of plane crashes and car crashes are roughly the same as a result we are surprised that there are orders of magnitude deaths in car crashes than in plane crashesThe dangers of over fitting are discussed at length As an example police and FBI agents sometimes over train they sometimes use good gun training etiuette during a shoot out with fatal conseuences I really appreciated the discussion of how over fitting is avoided in biological evolution It is dangerous for organisms to evolve to over fit an ecological niche because the species might not be able to rapidly adapt to an uncertain future environmentI also thought that the description of exponential backoff was very well treated in the book This esoteric sounding algorithm is used in all computer networks but is also used by many of us in treating flaky friends and in punishment for probation violationsThe last chapter in the book was about game theory It is helpful in reading this book to have some previous background an understanding of a Nash euilibrium The following uote sums it up nicely Love is like organized crime It changes the structure of the marriage game so that the euilibrium becomes the outcome that works best for everybody I highly recommend this book Regardless of your mathematics background it will intrigue you and amaze you to see how math permeates our everyday lives

  • Hardcover
  • 368
  • Algorithms to Live By The Computer Science of Human Decisions
  • Brian Christian
  • English
  • 15 January 2019
  • 9781627790369