Network Engineering for Complex Belief Networks
Suzanne M. Mahoney, Kathryn Blackmond Laskey

TL;DR
This paper introduces a rapid prototyping approach for engineering complex belief networks, emphasizing modular design, object-oriented representation, and evaluation methods, demonstrated through military intelligence examples.
Contribution
It presents a novel modular and object-oriented framework for belief network construction and evaluation, enhancing system engineering practices.
Findings
Effective network modularization criteria
Use of stubs for incomplete modules
Object-oriented representation captures semantics
Abstract
Like any large system development effort, the construction of a complex belief network model requires systems engineering to manage the design and construction process. We propose a rapid prototyping approach to network engineering. We describe criteria for identifying network modules and the use of "stubs" to represent not-yet-constructed modules. We propose an object oriented representation for belief networks which captures the semantics of the problem in addition to conditional independencies and probabilities. Methods for evaluating complex belief network models are discussed. The ideas are illustrated with examples from a large belief network construction problem in the military intelligence domain.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · AI-based Problem Solving and Planning · Software Reliability and Analysis Research
