Management of Knowledge Imperfection in Building Intelligent Systems

• Main Authors: Roventa, Eugene. (Author), Spircu, Tiberiu. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Fuzziness and Soft Computing, 227
• Subjects: Engineering.; Artificial intelligence.; Computer vision.; Computer aided design.; Mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Computer Imaging, Vision, Pattern Recognition and Graphics.; Computer-Aided Engineering (CAD, CAE) and Design.; Applications of Mathematics.; Operations Research/Decision Theory.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-77463-1

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 books to be entirely dedicated to the treatment of knowledge imperfection when building intelligent systems. We consider that an entire book should be...

Table of Contents:

• "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.