Network Engineering for Complex Belief Networks
arXiv:1302.3591
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.
Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996)
References in corpus (1)
Cited by in corpus (5)
- Object-Oriented Bayesian Networks
- Network Fragments: Representing Knowledge for Constructing Probabilistic Models
- SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation
- Representing and Combining Partially Specified CPTs
- The Complexity of Bayesian Networks Specified by Propositional and Relational Languages