Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
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. 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.
Editorials
D. J. Hand
The monograph describes how modularity in a probabilistic model enables computation of probabilistic inferences, and outlines the main architectures for capitalizing on this modularity. It provides a good, brief, but rigorous introduction to the ideas.&151; Short Book Reviews
S. G. Valeev
The reviewing monograph should be useful to scholars and students in artificial intelligence, operations research and the various branches of applied statistics that use probabilistic methods.&151; Zentralblatt fur Mathematik
Slawomir T. Wierzchon
This is a clever and concise book guaranteeing a quick and detailed introduction to the domain of probability propagation. Exercises added at the end of each chapter extend its content and allow a reader a deeper understanding of the core ideas. The short comments added to the biographical material included at the end of the book open a perspective to other and new approaches to this problem.&151; Control Engineering Practice