Artificial intelligence : a Guide to intelligent systems

Negnevitsky, Michael

Artificial intelligence : a Guide to intelligent systems By Michael Negnevitsky - 3rd Ed. - Uttarpradesh: Pearson India, c2020. - 479P.

1. 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


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.

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Expert systems (Computer science) Artificial intelligence. Systemes experts (Informatique)

006.3 / NEG-A