Probabilistic expert systems

Free Download

Authors:

Series: CBMS-NSF regional conference series in applied mathematics 67

ISBN: 9780898713732, 0898713730

Size: 832 kB (852259 bytes)

Pages: 91/91

File format:

Language:

Publishing Year:

Category:

Glenn Shafer9780898713732, 0898713730

Probabilistic Expert Systems emphasizes the basic computational principles that make probabilistic reasoning feasible in expert systems. The key to computation in these systems is the modularity of the probabilistic model. Shafer describes and compares the principal architectures for exploiting this modularity in the computation of prior and posterior probabilities. He also indicates how these similar yet different architectures apply to a wide variety of other problems of recursive computation in applied mathematics and operations research.
The field of probabilistic expert systems has continued to flourish since the author delivered his lectures on the topic in June 1992, but the understanding of join-tree architectures has remained missing from the literature. This monograph fills this void by providing an analysis of join-tree methods for the computation of prior and posterior probabilities in belief nets. These methods, pioneered in the mid to late 1980s, continue to be central to the theory and practice of probabilistic expert systems. In addition to purely probabilistic expert systems, join-tree methods are also used in expert systems based on Dempster–Shafer belief functions or on possibility measures. Variations are also used for computation in relational databases, in linear optimization, and in constraint satisfaction.
This book describes probabilistic expert systems in a more rigorous and focused way than existing literature, and provides an annotated bibliography that includes pointers to conferences and software. Also included are exercises that will help the reader begin to explore the problem of generalizing from probability to broader domains of recursive computation.

Table of contents :
Probabilistic Expert Systems……Page 1
Contents……Page 7
Preface……Page 9
CHAPTER 1 Multivariate Probability……Page 11
CHAPTER 2 Construction Sequences……Page 27
CHAPTER 3 Propagation in Join Trees……Page 45
CHAPTER 4 Resources and References……Page 79
Index……Page 89

Reviews

There are no reviews yet.

Be the first to review “Probabilistic expert systems”
Shopping Cart
Scroll to Top