We build knowledge bases in order to formulate our knowledge about a certain problem domain in a structured way. The purpose of the knowledge base is to support our reasoning about events and decisions in a domain with inherent uncertainty. The fundamental idea of solving a probabilistic network is to exploit the structure of the knowledge base to reason efficiently about the events and decisions of the domain taking the inherent uncertainty into account.
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© 2008 Springer Science+Business Media, LLC
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(2008). Solving Probabilistic Networks. In: Bayesian Networks and Influence Diagrams. Information Science and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-74101-7_5
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DOI: https://doi.org/10.1007/978-0-387-74101-7_5
Publisher Name: Springer, New York, NY
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Online ISBN: 978-0-387-74101-7
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