Probabilistic Reasoning in Expert Systems: Theory and Algorithms

by Richard E. Neapolitan

An introduction to the use of probabilistic techniques in the design of expert systems, the book provides a background in probability and graph theory. It shows how to use the probability calculus in modelling reasoning under uncertainty, discusses subjective Bayesian analysis and the odds method and covers the theoretical foundations of causal networks, including Pearl's method of belief propagation and fusion in causal networks. Each chapter is split into two sections - the first section presents the theory and the second explains the technique's use and offers examples.

433 pages, Hardcover

First published April 1, 1990