Uncertain Information Processing In Expert Systems

Download or read book Uncertain Information Processing In Expert Systems written by Petr Hajek and published by CRC Press. This book was released on 1992-06-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertain Information Processing in Expert Systems systematically and critically examines probabilistic and rule-based (compositional, MYCIN-like) systems, the two most important families of expert systems dealing with uncertainty. The book features a detailed introduction to probabilistic systems (including methods using graphical models and methods of knowledge integration), an analysis of compositional systems based on algebraic considerations, an application of graphical models, and the Dempster-Shafer theory of evidence and its use in expert systems. The book will be useful to anyone working in artificial intelligence, statistical computing, symbolic logic, and expert systems.