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Algorithms to live by : the computer science of human decisions
Algorithms to live by : the computer science of human decisions
Christian, Brian2016
A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, 'Algorithms To Live By' helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tasks should you take on in the first place? How much messiness should you accept? What balance of new activities and familiar favourites is the most fulfilling? When computers face constraints of time and space, they too must untangle very human questions: how to have better hunches, when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. And the solutions they've found have much to teach us. Acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms developed for computers can be applied from finding your spouse to finding a parking spot, from organizing your inbox to understanding the workings of memory. Where you have a dilemma, they have a rule, and each fascinating algorithm turns the wisdom of computer science into strategies for human living.
Main title:
London : Harpercollins, 2016.
351 pages ; 24 cm.
1.Optimal stopping: when to stop looking -- 2.Explore/exploit: the latest vs. the greatest -- 3.Sorting: making order -- 4.Caching: forget about it -- 5.Scheduling: first things first -- 6.Bayes's Rule: predicting the future -- 7.Overfitting: when to think less -- 8.Relaxation: let it slide -- 9.Randomness: when to leave it to chance -- 10.Networking: how we connect -- 11.Game Theory: the minds of others -- Conclusion: computational kindness.
Dewey class:
LocationCollectionCall numberStatus/Desc
Sandringham LibraryHealth and Wellbeing153.43 CHROnloan - Due: 17 Dec 2021