000			01034nam a22001697a 4500
020			_a9789353946791
082			_a006.3 _bNEG-A
100			_aNegnevitsky, Michael
245			_aArtificial intelligence : a Guide to intelligent systems _cBy Michael Negnevitsky
250			_a3rd Ed.
260			_aUttarpradesh: _bPearson India, _cc2020.
300			_a479P.
505			_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 neutral networks -- 7. Evolutionary computation -- 8. Hybrid intelligent systems -- 9. Knowledge engineering
520			_a Keeping 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			_aExpert systems (Computer science) Artificial intelligence. Systemes experts (Informatique)
942			_cBK
999			_c297451 _d297451