Uncertain Information Processing In Expert Systems

Front Cover
CRC Press, Jun 29, 1992 - Computers - 304 pages
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.
 

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Contents

Basic Mathematical Notions
1
Probability
9
Graphs and Probability
41
Decision Making Under Uncertainty
69
Local Computations with Probabilities on Graphical Structures
85
Knowledge Integration Methods
113
An Introduction to Compositional Systems
151
An Algebraic Analysis
169
A Probabilistic Analysis of Compositional Systems
195
The DempsterShafer Theory of Evidence and Its
219
Estimation of Probabilities and Structures
255
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