[Shelving Category] Artificial Intelligence/Soft Computing Artificial Intelligence is often perceived as being a highly complicated, even frightening subject in Computer Science. This view is compounded by books in this area being crowded with complex matrix algebra and differential equations - until now. This book, evolving from lectures given to students with little knowledge of calculus, assumes no prior programming experience and demonstrates that most of the underlying ideas in intelligent systems are, in reality, simple and straightforward. Are you looking for a genuinely lucid, introductory text for a course in A.I or Intelligent Systems Design? Perhaps you're a non-computer science professional looking for a self-study guide to the state-of-the art in knowledge based systems? Either way, you can't afford to ignore this book. Covers: Rule-based expert systems Fuzzy expert systems Frame-based expert systems Artificial neural networks Evolutionary computation Hybrid intelligent systems Knowledge engineering Data mining New to this edition: New demonstration rule-based system, MEDIA ADVISOR New section on genetic algorithms Four new case studies Completely updated to incorporate the latest developments in this fast-paced field. Dr Michael Negnevitsky is a Professor in Electrical Engineering and Computer Science at the University of Tasmania, Australia. The book has developed from lectures to undergraduates. Its material has also been extensively tested through short courses introduced at Otto-von-Guericke-Universittrade;t Magdeburg, Institut Elektroantriebstechnik, Magdeburg, Germany, Hiroshima University, Japan and Boston University and Rochester Institute of Technology, USA Educated as an electrical engineer, Dr Negnevitsky's many interests include artificial intelligence and soft computing. His research involves the development and application of intelligent systems in electrical engineering, process control and environmental engineering. He has authored and co-authored over 250 research publications including numerous journal articles, four patents for inventions and two books.

Michael Negnevitsky is a Professor in Electrical Engineering and Computer Science at the University of Tasmania, Australia.