Description
PEARSON INDIA Artificial Intelligence, 3/E: A Guide To Intelligent Systems by Michael Negnevitsky
Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses are described, and program examples are given in Java. Includes the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery.
Table of Content
"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 neural networks 7 Evolutionary computation 8 Hybrid intelligent systems 9 Knowledge engineering 10 Data mining and knowledge discovery"
Salient Features
"• No mathematical or programming prerequisites. • Linked coverage of all the latest artificial intelligence topics. • Question and answer format. • Accompanying website including student projects, accompanying software tools, software demonstrations, PowerPoint slides and solutions to exercises. "