Expert Systems and Probabilistic Network Models

Enrique Castillo, Jose M. Gutierrez, Ali S. Hadi

Springer New York, Sep 28, 2011 - Computers - 605 pages

Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

About the author

Enrique Castillo is Professor of Applied Mathematics at the University of Cantabria in Santander (Spain). He is a Mathematician and a Civil engineer and Member of the Spanish Royal Academy of Engineering. He has taught at several other universities in the Europe and America. The author/coauthor of eleven other books in English and fourteen in Spanish, and more than 300 papers in journals and Congresses. More information can be found at his Web site: http: //personales.unican.es/castie//. Juan R. Ruiz-Tolosa is an Industrial and Civil Engineer and has been Professor of Algebra, Tensors, Topology, Differential Geometry and Calculus at the Civil Engineering School, University of Cantabria for 30 years. His field of research includes Number Theory, Euclidean Geometry, Elliptic Integrals, Algebraic Roots of Equations, etc.

Bibliographic information

• Title: Expert Systems and Probabilistic Network Models; Monographs in Computer Science
• Authors: Enrique Castillo, Jose M. Gutierrez, Ali S. Hadi
• Edition: illustrated
• Publisher: Springer New York, 2011
• ISBN: 1461222710, 9781461222712
• Length: 605 pages
• Subjects: Computers / Artificial Intelligence / General