PDF NEW Algorithms to Live By The Computer Science of Human Decisions » Brian Christian

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

Brian Christian ´ 0 Summary

Algorithms to Live By The Computer Science of Human Decisions Download ↠ 0 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. 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 between disparate fields and finding metaphors for life everywhere I thoroughly enjoyed this Some of my favorite principlesconcepts 37% rule of optimal stopping when to stop scouting prospects and just commit exploreexploit tradeoff chance of finding a new gem vs certainty of enjoying a known fave LRU last recently used sorting as an efficient prophylactic for searching layered caches as metaphor for human memory brain fart as cache miss overfitting when interpreting data prefer simple accuracy to complex precision constraint relaxation as a techniue to address knotty problems buffer bloat when backlog is bad best to reject all incoming reuests until it clears exponential back off when head butts recur double your wait time before trying again computational kindness by reducing the options on the table we do people s brains a favor

Review Algorithms to Live By The Computer Science of Human DecisionsAlgorithms to Live By The Computer Science of Human Decisions

Algorithms to Live By The Computer Science of Human Decisions Download ↠ 0 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. Okay I loved this book So what is it aboutThe 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 schedule my tasks for maximum productivity and many routine problems like these These problems have a mathematical and computer science basis to which the scientific community has found optimum or near to optimum answers and this book teaches us how we can apply these solutions to our daily life problems Amazing isn t it DThe book itself Well the idea of the book is just marvelous In addition the writers are profoundly knowledgeable and educated both from academic and non academic perspectives hence they ve woven perfectly selected anecdotes philosophical economical or psychological facts literary phrases into the fabric of their stories which makes the book superb This book is not an easy read at all and it s a good thing in contrast with common belief since it challenges and stretches your mind and expands your thoughts horizons Part of this difficulty stems from the fact that authors are having a hard time simplifying mathematical and computer science facts The material sometimes gets a bit tough to comprehend On the other hand It seems to me that authors are trying hard to make the text complex Final wordThis book definitely is amongst the richest books I ve ever consumed lots of knowledge and insights are compiled in an applicable manner I would whole hardheartedly recommend this books to all the nerds and geeks out there and everyone who enjoys improving efficiency and productivity of hisher day to day life

Summary × PDF, DOC, TXT or eBook ´ Brian Christian

Algorithms to Live By The Computer Science of Human Decisions Download ↠ 0 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 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 by computers I suspect the computer science label is to make it sexy than boring old mathematicsIf there is any danger that the M word would turn you off the book tends to skip over the mathematical workings concentrating on the outcomes and how they re relevant to the kind of decisions we make in everyday life and it s that application side that makes it particularly interesting helped by a good readable style from the co authors So for instance one of the earliest areas covered is the kind of decision where you are selecting between a number of options that arrive seuentially and where you have to make a decision on which is best for you part way through the seuence even though there may be better options in the future The classic examples for this are some kinds of job interviews house buying and finding a partner for lifeIt might seem there can be no sensible advice but mathematically it s very clear You wait until you ve got through 37% of the choices then pick the next one that s better than any you ve seen before It s not that this will necessarily deliver your best of all possible worlds More often than not it won t But it will give you a better result than any other mechanism for deciding when to go for a particular option Of course it s not always easy to apply For example unless it s something like an interview with closed applications how do you know when you are 37% of the way through the available options Luckily the authors point out that there are approximations to get around this which include that the approach can also apply to the amount of time available for the processAnd that s just the start Along the way you will discover the best way to sort the books on your shelves into alphabetic order something I confess I did last year using a sub optimal mechanism how to balance exploration for example trying out new restaurants with exploitation for example returning to tried and tested restaurants how the concept of caching can revolutionise your filing system and make that pile of papers on your desk that everyone mocks the sensible approach why Bayes theorem is so important and much I absolutely revelled in this bookThe content only fades a bit when the applications aren t about real world decisions So for instance there s some material about how the internet works that is very interesting if you like that kind of thing I do but hasn t got the same feeling of personal utility to it so lacks some of the bite of the other chapters This is even obvious in the section on randomness I would also have liked to see acknowledgement that most of the content was really from the area of study called operational operations in the US research a discipline that happens to make use of computers rather than true computer science but that s a specialist moanRealistically speaking I don t think much of the content of this book will truly change how any of us do things Interestingly the authors reveal than an expert in the field pretty much consciously ignored the mathematical approach in a particular case opting for of a feels right choice But that doesn t stop the whole business whether it s the relative simplicity of the 37% rule or the mind twisting possibilities of game theory from being both potentially practical and highly enjoyable as presented here Recommended