There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. This book is among the few booksto be entirely dedicated to the treatment of knowledge imperfection when building intelligent systems. We consider that an entire book should be focused onthis important aspect of knowledge processing. The expected audience for thisbook includes undergraduate students in computer science, IT&C, mathematics, business, medicine, etc., graduates, specialists and researchers in these fields. The subjects treated in the book include expert systems, knowledge representa-tion, reasoning under knowledge Imperfection (Probability Theory, Possibility Theory, Belief Theory, and Approximate Reasoning). Most of the examples discussed in details throughout the book are from the medical domain First book treating the knowledge imperfection in building intelligent systems Includes alot of exampes and Visual Prolog programs INDICE: ‘Classical’ expert systems.- Knowledge representation.- Uncertainty and classical theory of probability.- Statistical inference.- Bayesian (belief) networks.- Certainty factors theory.- Belief theory.- Possibility theory.-Approximate reasoning.- Review.
- ISBN: 978-3-540-77462-4
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 280
- Fecha Publicación: 01/10/2008
- Nº Volúmenes: 1
- Idioma: Inglés