000			01075nam a2200205 4500
005			20250708153956.0
008			250708b |||||||| |||| 00| 0 eng d
020			_a9781292730851
082			_a006.33 NEG
100			_aNegnevitsky, Michael
245			_aArtificial intelligence : a guide to intelligent systems
250			_a4th ed.
260			_aHarlow: _bPearson education ltd., _cc2025.
300			_axviii, 580p.
500			_aIncludes bibliographical references and index
520			_aUnlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.
650			_aExpert systems (Computer science)
650			_aArtificial intelligence
942			_2ddc _n0 _cC
999			_c30507 _d30507