Abstract
A Bayesian network serves as a model for a part of the world, and the relations in the model reflect causal impact between events. The reason for building these computer models is to use them when taking decisions. In other words, the probabilities provided by the network are used to support some kind of decision making. In principle, there are two kinds of decisions, namely test decisions and action decisions.
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© 2001 Springer Science+Business Media New York
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Jensen, F.V. (2001). Decision Graphs. In: Bayesian Networks and Decision Graphs. Statistics for Engineering and Information Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3502-4_4
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DOI: https://doi.org/10.1007/978-1-4757-3502-4_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3504-8
Online ISBN: 978-1-4757-3502-4
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