000 | 02030cam a22003737i 4500 | ||
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001 | 17845901 | ||
003 | OSt | ||
005 | 20160808200706.0 | ||
008 | 130809t20132013nyua b 001 0 eng d | ||
010 | _a 2012474460 | ||
020 | _a9780465032716 | ||
020 | _a0465032710 | ||
035 | _a(OCoLC)ocn811598820 | ||
040 |
_aBTCTA _beng _cBTCTA _erda _dYDXCP _dBDX _dGK8 _dIEP _dOCLCO _dXYZ _dBWX _dTWC _dCDX _dDLC _dDLC |
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042 | _alccopycat | ||
050 | 0 | 0 |
_aBF39.3 _b.V35 2013 |
082 | 0 | 4 |
_a150.1 _223 |
100 | 1 | _aValiant, Leslie. | |
245 | 1 | 0 |
_aProbably approximately correct : _bnature's algorithms for learning and prospering in a complex world / _cLeslie Valiant. |
260 |
_aNew York; _bBasic Books, _c2013. |
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300 |
_ax, 195 pages : _billustrations ; _c25 cm |
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504 | _aIncludes bibliographical references (pages 175-184) and index. | ||
505 | 0 | _aEcorithms -- Prediction and adaptation -- The computable: not everything that can be defined can be computed -- Mechanistic explanations of nature: what might we look for? -- The learnable: how can one draw general lessons from particular experiences? -- The evolvable: how can complex mechanisms evolve from simpler ones? -- The deducible: how can one reason with imprecise concepts? -- Humans as ecorithms -- Machines as ecorithms: why is artificial intelligence difficult to achieve? -- Questions. | |
520 | _aProvides a model of how effective behavior can be learned even in a world as complex as our own, shedding new light on human nature. | ||
650 | 0 |
_aHuman behavior _xMathematical models. |
|
650 | 0 | _aAlgorithms. | |
650 | 0 |
_aNature _xMathematical models. |
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650 | 0 | _aMathematics in nature. | |
856 | 4 | 2 |
_3Contributor biographical information _uhttp://www.loc.gov/catdir/enhancements/fy1317/2012474460-b.html |
856 | 4 | 2 |
_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy1317/2012474460-d.html |
906 |
_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
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942 |
_2lcc _cBK |
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999 |
_c5859 _d5859 |