Algorithms To Live By: The Computer Science Of Human Decisions
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Algorithms to Live by: The Computer Science of Human Decisions
~EN HC USISBN: 9780143196471 bzw. 0143196472, vermutlich in Englisch, Penguin Books, United Kingdom of Great Britain and Northern Ireland, gebundenes Buch, gebraucht, mit Einband.
Von Händler/Antiquariat, George Strange's Bookmart [1895982], Brandon, MB, Canada.
Unclipped dust jacket, it is soiled and lightly rubbed along the edges and has a small closed tear on the tail of the spine. Grey hardcover with blue titles on the spine, showing no sign of wear. The inside is unmarked. The binding is tight. The pages are clean and clear, Books.
Unclipped dust jacket, it is soiled and lightly rubbed along the edges and has a small closed tear on the tail of the spine. Grey hardcover with blue titles on the spine, showing no sign of wear. The inside is unmarked. The binding is tight. The pages are clean and clear, Books.
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Algorithms to Live By: The Computer Science of Human Decisions (2016)
EN HC NW EB DLISBN: 9780143196471 bzw. 0143196472, in Englisch, 368 Seiten, Allen Lane, gebundenes Buch, neu, E-Book, elektronischer Download.
Lieferung aus: Kanada, ebook for download, Free shipping.
A fascinating exploration of how 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 favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. From the Hardcover edition., Kindle Edition, Format: Kindle eBook, Label: Allen Lane, Allen Lane, Product group: eBooks, Published: 2016-04-26, Release date: 2016-04-26, Studio: Allen Lane, Sales rank: 6988.
A fascinating exploration of how 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 favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. From the Hardcover edition., Kindle Edition, Format: Kindle eBook, Label: Allen Lane, Allen Lane, Product group: eBooks, Published: 2016-04-26, Release date: 2016-04-26, Studio: Allen Lane, Sales rank: 6988.
3
Algorithms to Live By (2016)
EN HC NW EB DLISBN: 9780143196471 bzw. 0143196472, in Englisch, ALLEN LANE, ALLEN LANE, ALLEN LANE, gebundenes Buch, neu, E-Book, elektronischer Download.
Lieferung aus: Kanada, in-stock.
A fascinating exploration of how 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 activities and familiar favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. From the Hardcover edition.
A fascinating exploration of how 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 activities and familiar favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. From the Hardcover edition.
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Algorithms To Live By: The Computer Science Of Human Decisions
EN HC NWISBN: 9780143191612 bzw. 0143191616, in Englisch, Penguin Canada, gebundenes Buch, neu.
Lieferung aus: Kanada, In Stock, plus shipping.
Brian Christian, Tom Griffiths, Books, Health and Well Being, Algorithms To Live By: The Computer Science Of Human Decisions, A fascinating exploration of how 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 activities and familiar favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.From the Hardcover edition.
Brian Christian, Tom Griffiths, Books, Health and Well Being, Algorithms To Live By: The Computer Science Of Human Decisions, A fascinating exploration of how 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 activities and familiar favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.From the Hardcover edition.
5
Algorithms to Live By: The Computer Science of Human Decisions (2016)
EN NW EB DLISBN: 9780143196471 bzw. 0143196472, in Englisch, 368 Seiten, Allen Lane, neu, E-Book, elektronischer Download.
Lieferung aus: Kanada, eBook Letölt, Ingyenes szállítás.
A fascinating exploration of how 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 favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. From the Hardcover edition., Kindle Edition, Formátum: Kindle eBook, Címke: Allen Lane, Allen Lane, Termékcsoport: eBooks, Megjelent: 2016-04-26, Kiadás dátuma: 2016-04-26, Stúdió: Allen Lane, Értékesítési rangsorban: 3670.
A fascinating exploration of how 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 favourites 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 problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. From the Hardcover edition., Kindle Edition, Formátum: Kindle eBook, Címke: Allen Lane, Allen Lane, Termékcsoport: eBooks, Megjelent: 2016-04-26, Kiadás dátuma: 2016-04-26, Stúdió: Allen Lane, Értékesítési rangsorban: 3670.
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Algorithms to Live By - The Computer Science of Human Decisions
EN HC NWISBN: 9780143196471 bzw. 0143196472, in Englisch, Penguin Canada, gebundenes Buch, neu.
Lieferung aus: Deutschland, Ingyenes szállítás.
Algorithms to Live By: A fascinating exploration of how 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 activities and familiar favourites 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 problems for decades. And the solutions they`ve found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.From the Hardcover edition. Englisch, Ebook.
Algorithms to Live By: A fascinating exploration of how 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 activities and familiar favourites 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 problems for decades. And the solutions they`ve found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.From the Hardcover edition. Englisch, Ebook.
7
Algorithms to Live By (2016)
EN NW EB DLISBN: 9780143196471 bzw. 0143196472, in Englisch, Allen Lane, Allen Lane, Allen Lane, neu, E-Book, elektronischer Download.
Lieferung aus: Kanada, in-stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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