000			01656nam a22002537a 4500
005			20250731121206.0
006			a|||||r|||||||||||
008			s2002 a b 001 0 eng
020			_a0201711591
035			_a12296243
040			_aGR-AtMCL _dGR-AtMCL _bgre _eAACR2
100			_aNegnevitsky, Michael _99887
245	1	0	_aArtificial intelligence : _ba guide to intelligent systems / _cMichael Negnevitsky.
250			_a1st ed.
260			_aNew York : _bAddison Wesley, _c2002.
300			_axiv, 394 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
520			_aVirtually all the literature on artificial intelligence is expressed in the jargon of commuter science, crowded with complex matrix algebra and differential equations. Unlike many other books on computer intelligence, this one demonstrates that most ideas behind intelligent systems are simple and straightforward. The book has evolved from lectures given to students with little knowledge of calculus, and the reader needs no prerequisites associated with knowledge of any programming language. The methods used in the book have been extensively tested through several courses given by the author. The book provides an introduction to the field of computer intelligence, covering rule-based expert systems, fuzzy expert systems, frame-based expert systems, artificail neural networks, evolutionary computation, hybrid intelligent system, knowledge engineering, data mining.
650		0	_aComputing _99851
650		0	_aArtificial intelligence _99888
653			_aExpert systems (Computer science)
942			_cBK
999			_c9838 _d9838