000			03322cam a2200457 i 4500
001			ocn908628787
003			OCoLC
005			20251028093411.0
008			150827s2016 nyu b 001 0 eng
010			_a 2015032177
035			_a(Sirsi) i9781627790369
040			_aDLC _beng _erda _cDLC _dYDX _dYDXCP _dBTCTA _dBDX _dOQX _dSPP _dBUR _dMEU _dOCLCF _dPUL _dCHVBK _dBNG _dYUS _dMOF _dCLE _dBUR _dVF$
019			_a959250488 _a961281020 _a962188405 _a967325972
020			_a9781627790369 (hardcover)
020			_a1627790365 (hardcover)
020			_z9781627798983
024	8		_a40026038465
035			_a(OCoLC)908628787 _z(OCoLC)959250488 _z(OCoLC)961281020 _z(OCoLC)962188405 _z(OCoLC)967325972
042			_apcc
050	0	0	_aBF 39 _b.C4885 2016
049			_aVF$A
100	1		_aChristian, Brian, _d1984- _eauthor.
245	1	0	_aAlgorithms to live by : _bThe computer science of human decisions / _cBrian Christian and Tom Griffiths.
250			_aFirst international edition.
264		1	_aNew York : _bHenry Holt and Company, _c2016.
300			_ax, 351 pages ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aOptimal stopping : when to stop looking -- Explore/exploit : the latest vs. the greatest -- Sorting : making order -- Caching : forget about it -- Scheduling : first things first -- Bayes's Rule : predicting the future -- Overfitting : when to think less -- Relaxation : let it slide -- Randomness : when to leave it to chance -- Networking : how we connect -- Game theory : the minds of others -- Conclusion : Computational kindness.
520			_aA 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.
546			_aText in English.
650		0	_aHuman behavior _xMathematical models.
650		0	_aProblem solving _xMathematics.
650		0	_aComputer simulation.
650		0	_aComputer algorithms.
700	1		_aGriffiths, Tom, _d1978-
994			_aC0 _bVF$
999			_c136768 _d136768