000			02039nam a2200253 a 4500
001			ASIN0321204662
003			OSt
005			20190522125117.0
008			140107s2004 xxu eng d
020			_a0321204662 (hardcover) _c$180.40
020			_a9780321204660 (hardcover)
037			_c481.00 PKR
040			_cAUI
100	1		_aNegnevitsky, Michael. _94579
245	1	0	_aArtificial intelligence : a guide to intelligent systems _cMichael Negnevitsky.
250			_a2nd ed.
260			_aNew Delhi _bAddison-Wesley, _c2002.
300			_a433 p. _c24 cm.
490	1		_a2nd edition.
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.
830		0	_a2nd edition. _94580
856	4	0	_3Amazon.com _uhttp://www.amazon.com/exec/obidos/ASIN/0321204662/chopaconline-20
942			_2ddc _cBK
999			_c6207 _d6207