Artificial Intelligence: A Guide to Intelligent Systems Michael Negnevitsky is an English-language textbook about artificial intelligence. This reference work is intended for students in higher education and covers intelligent systems extensively.
The book provides a clear overview of techniques such as knowledge-based systems, neural networks, fuzzy systems, evolutionary computation, and intelligent agents. Negnevitsky explains how these methods are applied, when they are effective, and when they are not suitable, without using complex mathematics. No specific programming language is assumed, but Java example programs are included. This makes the guide a practical tool for both introductory courses and advanced studies in artificial intelligence.
Topics connect with artificial intelligence (AI), neural networks, fuzzy systems, and general applications in intelligent systems. The book offers a current and broadly applicable foundation for knowledge development and systematic understanding of intelligent systems.