Uncertain OO-BRs Principles

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Table of contents

1 Introduction 
1.1 General Context
1.2 Motivation
1.3 Contributions and Outline
2 IT for Business Rules Management 
2.1 Introduction
2.2 Business Rules Approach overview
2.3 Business Rules Management Systems
2.3.1 Features of a BRMS
2.3.2 Rule-based Expert Systems
2.4 Discussion and Conclusion
3 Bayesian Networks for Uncertainty Management 
3.1 Introduction
3.2 Bayesian Networks
3.2.1 Definition and Design
3.2.2 Graphical Semantics
3.2.3 Reasoning with BNs
3.3 Probabilistic Relational Models
3.4 Conclusion
4 Incremental Junction Tree Inference 
4.1 Introduction
4.2 Junction Tree algorithm
4.3 Incremental Junction Tree Inference
4.3.1 Optimal Roots
4.3.2 A new Incremental Inference
4.4 Evaluation
4.4.1 Messages Optimization
4.4.2 Time Optimization
4.5 Conclusion
5 Business Rules Uncertainty Management 
5.1 Introduction
5.2 Coupling BRs with PRMs
5.2.1 Uncertain OO-BRs Principles
5.2.2 Model Extension
5.3 Application to IBM ODM
5.3.1 Overview
5.3.2 A Complex Compilation Process
5.3.3 A Loosely Coupling-based Execution
5.4 Towards Advanced techniques
5.4.1 Preliminary
5.4.2 Probabilistic Propagation
5.5 Conclusion
6 Discussion and Future Works 
A Proofs 
B Other experimental results 
Bibliography