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Algorithms to Live By: The Computer Science…
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Algorithms to Live By: The Computer Science of Human Decisions (urspr publ 2017; utgåvan 2016)

av Brian Christian (Författare)

MedlemmarRecensionerPopularitetGenomsnittligt betygOmnämnanden
8523318,682 (4.03)12
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 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 issues 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 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 memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.--From dust jacket.… (mer)
Medlem:rohanjay
Titel:Algorithms to Live By: The Computer Science of Human Decisions
Författare:Brian Christian (Författare)
Info:Henry Holt and Co. (2016), 368 pages
Samlingar:Ditt bibliotek
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Taggar:Ingen/inga

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Algorithms to Live By: The Computer Science of Human Decisions av Brian Christian (2017)

Senast inlagd avprivat bibliotek, hakank, nedkelly05, giovannaz63, leslie.emery, abhicantdraw, Eristo
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I knew about most of these algorithms and theorems already but the book goes beyond that and shows how they apply outside abstract problems. Thought stimulating and well written to boot, in a friendly and informal manner but without cramming in forced humour (my pet peeve in pop-science books). ( )
  TeaTimeCoder | Dec 23, 2020 |
Excellent book, provides a lot of insight into various interesting problems. Must go back for a second reading.... ( )
  rendier | Dec 20, 2020 |
Very cool book. ( )
  micahammon | Dec 19, 2020 |
A decent overview of some important algorithms and CS concepts. Great as an introduction to topics you might not know so much about but chapters on topics you know will seem a little underwhelming. ( )
  drwilko | Nov 17, 2020 |
Regardless of what Feynman said (it wouldn't matter if even Gödel said it), Computer Science is not engineering. I add some caveats to that, Computer Science is not so easily categorized, so by Computer Science I refer to the formal science aspect. Now, referring to "Nature", two things, some results of Computer Science if they were different we would expect the universe to be fundamentally different. A predictable argument from me, but result still to come is P vs NP - if we have P = NP then I think we would all agree that the universe is not quite as we thought it was. Computer Science does say something about Nature.

Some of Computer Science that is. This is where the murkiness comes in because it also investigates many other things. Some Computer Scientists work on logic, and as yet whether logic is normative or descriptive is one of those big questions that is currently left to philosophy. What about Programming Language design? Well, formal work in this area does involve proving theorems, but about human artefacts. We can further cloud the picture with inter-disciplinary work. Computer Science used to discover how fish coordinate their behavior, for example.

But, removing the mud, we have left theoretical Computer Science and that is really the easiest thing to defend as Science. By which I mean, decidability, complexity, etc. I have already pointed out this says something about the universe, I think the main attack would be "how can saying something about computers be saying anything about nature when they are human-made artefacts?". The thing is, we are really talking about computation and not computers, computation is of course a human concept but it conceptualizes something real in nature. We can make other conceptualisations of course, but so long as there is a morphism between them and nature, anything we say about them is also said about the universe around us. ( )
  antao | Sep 6, 2020 |
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Författarens namnRollTyp av författareVerk?Status
Brian Christianprimär författarealla utgåvorberäknat
Griffiths, Tomhuvudförfattarealla utgåvorbekräftat

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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 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 issues 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 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 memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.--From dust jacket.

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