This volume brings together research results and applications of influence diagrams.
Based on the proceedings of a conference on Influence Diagrams for Decision Analysis, Inference and Prediction held at the University of California at Berkeley in May of 1988, this is the first book devoted to the subject. The editors have brought together recent results from researchers actively investigating influence diagrams and also from practitioners who have used influence diagrams in developing models for problem-solving in a wide range of fields.
Table of Contents
PARTIAL TABLE OF CONTENTS: Partial table of
MODEL FORMULATION AND ANALYSIS.
From Influence to Relevance to Knowledge (R.
Complexity, Calibration and Causality in
Influence Diagrams (T. Speed).
Statistical Principles on Graphs (J. Smith).
Influence and Belief Adjustment (M.
PROBLEMS AND APPLICATIONS: INDUSTRIAL.
Real Time Influence Diagrams for Monitoring
and Controlling Mechanical Systems (A.
Agonino & K. Ramamurthi).
A Socio-technical Approach to Assessing Human
Reliability (L. Phillips, et al.).
Bayesian Updating of Event Tree Parameters to
Predict High Risk Incidents (R. Oliver & H.
PROBLEMS AND APPLICATIONS: MEDICAL.
EFFICIENCY AND COMPUTATIONAL ISSUES.
Towards Efficient Probabilistic Diagnosis in
Multiply Connected Belief Networks (M.
Towards Better Assessment and Sensitivity
Procedures (R. Korsan).
Summary Observations (R. Howard).