Artificial intelligence - a guide to intelligent systems

Häftad bok. 3 uppl. 2011. 479 sidor.

Nyskick. 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. The main attraction of the author's approach is in his deliberate de-emphasising of the maths just enough to give a valid treatment of the subject. This is what makes the underlying ideas in AI so much easier to understand. No wonder that this book has already been adopted by more than 250 universities around the world and translated into many languages.

Are you looking for a genuinely lucid, introductory text for a course in AI or Intelligent Systems Design? Perhaps youre a non-computer science professional looking for a self-study guide to the state-of-the art in knowledge-based systems? Either way, you cant 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 chapter on data mining and knowledge discovery
New section on clustering with a self-organising neural network
Four new case studies
Completely updated to incorporate the latest developments in this fast-paced field.