Network Engineering for Complex Belief Networks

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Network Engineering for Complex Belief Networks (1996)

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by Suzanne M. Mahoney , Kathryn B. Laskey

Venue:	In Proc. UAI
Citations:	39 - 5 self

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@INPROCEEDINGS{Mahoney96networkengineering,
    author = {Suzanne M. Mahoney and Kathryn B. Laskey},
    title = {Network Engineering for Complex Belief Networks},
    booktitle = {In Proc. UAI},
    year = {1996},
    pages = {389--396},
    publisher = {Morgan Kaufmann}
}

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Abstract

Developing a large belief network, like any large system, requires systems engineering to manage the design and construction process. We propose that network engineering follow a rapid prototyping approach to network construction. We describe criteria for identifying network modules and the use of `stubs' within a belief network. We propose an object oriented representation for belief networks which captures the semantic as well as representational knowledge embedded in the variables, their values and their parameters. Methods for evaluating complex networks are described. Throughout the discussion, tools which support the engineering of large belief networks are identified. 1. Introduction As belief networks become more popular and well understood as a tool for modeling uncertainty and as the computational power of belief network inference engines increases, belief networks are being applied to problems of increasing size and complexity. In the early 1990's, Pathfinder, at 109 nodes...

Keyphrases

network engineering belief network complex belief network large belief network network construction belief network inference engine increase system engineering computational power complex network rapid prototyping approach representational knowledge large system construction process network module

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