Expert-Based Knowledge Engineering of Bayesian Networks

2014 ◽  
pp. 73-105 ◽  
Author(s):  
Emilia Mendes
Keyword(s):  
Bayesian Networks ◽  
Knowledge Engineering

PRACTICAL ISSUES IN MODELING LARGE DIAGNOSTIC SYSTEMS WITH MULTIPLY SECTIONED BAYESIAN NETWORKS

2000 ◽  
Vol 14 (01) ◽  
pp. 59-71 ◽  
Author(s):  
Y. XIANG ◽  
K. G. OLESEN ◽  
F. V. JENSEN
Keyword(s):  
Bayesian Networks ◽  
Systematic Approach ◽  
Knowledge Engineering ◽  
Large System ◽  
Diagnostic Systems ◽  
Exact Inference ◽  
Probabilistic Knowledge ◽  
Multiply Sectioned Bayesian Networks

As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These large projects demand a systematic approach to handle the complexity in knowledge engineering. The needs include modularity in representation, distribution in computation, as well as coherence in inference. Multiply Sectioned Bayesian Networks (MSBNs) provide a distributed multiagent framework to address these needs. According to the framework, a large system is partitioned into subsystems and represented as a set of related Bayesian subnets. To ensure exact inference, the partition of a large system into subsystems and the representation of subsystems must follow a set of technical constraints. How to satisfy these goals for a given system may not be obvious to a practitioner. In this paper, we address three practical modeling issues.

KEATS: A System to Support Knowledge Engineering and Training for Decision-Making Skills

1989 ◽  
Author(s):  
Fritz H. Brecke ◽  
Patrick Hays ◽  
Donald Johnston ◽  
Gail Slemon ◽  
Jane McGarvey ◽  
...  
Keyword(s):  
Decision Making ◽  
Knowledge Engineering ◽  
And Training
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