000			02443cam a2200265 a 4500
008			100206s2005 nyua b 001 0 eng
010			_a2004051817
020			_a0321204662
020			_a9780321204660
035			_a(Sirsi) u3418
040			_aEG-CaNU _c EG-CaNU _d EG-CaNU
042			_ancode
082	0	0	_a006.33 _2 22
100	1		_aNegnevitsky, Michael. _96751
245	1	0	_aArtificial intelligence : _b a guide to intelligent systems / _c Michael Negnevitsky.
250			_a2nd ed.
260			_aHarlow, England ; _a New York : _b Addison-Wesley, _c 2005.
300			_axiv, 415 p. : _b ill. ; _c 24 cm.
504			_aIncludes bibliographical references and index.
505	0		_a1 Introduction To Knowledge-Based Intelligent Systems -- 2 Rule-Based Expert Systems -- 3 Uncertainty Management In Rule-Based Expert Systems -- 4 Fuzzy Expert Systems -- 5 Frame-Based Expert Systems -- 6 Artificial Neural Networks -- 7 Evolutionary Computation -- 8 Hybrid Intelligent Systems -- 9 Knowledge Engineering And Data Mining.
520			_aArtificial Intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques. Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today's courses. Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses will be described and program examples will be given in Java. The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contempory coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques.
650		0	_aExpert systems (Computer science) _9952
650		0	_aArtificial intelligence. _91994
596			_a1
999			_c2419 _d2419