Negnevitsky, Michael <br/><br/>
Artificial intelligence : a Guide to intelligent systems 
By Michael Negnevitsky 
 - 3rd Ed. 
 - Uttarpradesh:  Pearson India,   c2020. 
 - 479P. 
<br/><br/>1. Introduction to knowledge-based intelligent systems --<br/>2. Rule-based expert systems --<br/>3. Uncertainty management in rule-based expert systems --<br/>4. Fuzzy expert systems --<br/>5. Frame-based expert systems --<br/>6. Artificial neutral networks --<br/>7. Evolutionary computation --<br/>8. Hybrid intelligent systems --<br/>9. Knowledge engineering 
<br/><br/>  	<br/>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. 
<br/><br/><label>ISBN: </label>9789353946791 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Expert systems (Computer science)     Artificial intelligence.     Systemes experts (Informatique) 
<br/><br/><label>Dewey Class. No.: </label>006.3  / NEG-A