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An exploration of how computer algorithms can be applied to our everyday lives to solve common decision-making problems and illuminate the workings of the human mind. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers 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 peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
An exploration of how computer algorithms can be applied to our everyday lives to solve common decision-making problems and illuminate the workings of the human mind. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers 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 peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Due to publisher restrictions the library cannot purchase additional copies of this title, and we apologize if there is a long waiting list. Be sure to check for other copies, because there may be other editions available.
Due to publisher restrictions the library cannot purchase additional copies of this title, and we apologize if there is a long waiting list. Be sure to check for other copies, because there may be other editions available.
About the Author-
Brian Christian is the author of The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive, which was a Wall Street Journal bestseller and a New Yorker favorite book of the year. Alongside Steven Pinker and Daniel Kahneman, he was shortlisted for the Best Book of Ideas prize in the UK.
Reviews-
March 1, 2016 We are always connected: this is both our blessing and our curse. The problem "is that we're always buffered," just a step behind the flood of information flowing toward and past us, all the books and movies and other ingredients of what the authors call "bufferbloat." What we need is a good strategy and filter, a greater cybernetic component in the way we think. Therewith the value of this book, seemingly loosely organized but in fact craftily programmed to build from one good idea to the next. The value of being aware of algorithmic thinking--of the thornier details of "human algorithm design," as Christian (The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive, 2011) and Griffiths (Psychology and Cognitive Science/Univ. of California) put it--is not just better problem solving, but also greater insight into the human mind. And who doesn't want to know how we tick? The authors lead us into the labyrinth with lessons on such matters as improved search and sort--sorting being "key to the human experience of information," and thus a good thing to ponder, whether on how to organize your T-shirt drawer or your dissertation. The procrastinators and untidy among us will rejoice in knowing that sometimes a mess is not just OK, but even "the optimal choice," as long as your search mechanism is good enough. Elsewhere, Christian and Griffiths apply Bayes-ian principles to gambling; if the reader does not emerge from the casino a winner, at least he or she may lose a little less. Most of the examples in this dense but lucid account are emphatically of the real world, but some are more meaningful than others: most people will find it better to know when to fold 'em, for instance, than to understand why Katy Perry can never possibly reply to all her fan mail. An entertaining, intelligently presented book for the numerate and computer literate.
COPYRIGHT(2016) Kirkus Reviews, ALL RIGHTS RESERVED.
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