000 | 01202cam a22003254a 4500 | ||
---|---|---|---|
001 | u2386 | ||
003 | SA-PMU | ||
005 | 20210418122932.0 | ||
008 | 040514s2005 enka b 001 0 eng | ||
010 | _a 2004051817 | ||
040 |
_aDLC _cDLC _dC#P _dBAKER _dVP@ _dNLGGC _dBTCTA _dYDXCP _dU3Q _dIG# _dU5D _dHEBIS _dDEBBG |
||
020 | _a0321204662 (case : alk. paper) | ||
020 | _a9780321204660 (case : alk. paper) | ||
035 | _a(OCoLC)55474224 | ||
042 | _apcc | ||
050 | 0 | 0 |
_aQA76.76.E95 _bN445 2004 |
082 | 0 | 0 |
_a006.3/3 _222 |
100 | 1 | _aNegnevitsky, Michael. | |
245 | 1 | 0 |
_aArtificial intelligence : _ba guide to intelligent systems / _cMichael Negnevitsky. |
250 | _a2nd ed. | ||
260 |
_aHarlow, England ; _aNew York : _bAddison-Wesley, _c2005. |
||
300 |
_axiv, 415 p. : _bill. ; _c24 cm. |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aKeeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job. | ||
650 | 0 | _aExpert systems (Computer science) | |
650 | 0 | _aArtificial intelligence. | |
942 | _cBOOK | ||
994 |
_aZ0 _bSUPMU |
||
596 | _a1 2 | ||
999 |
_c681 _d681 |