Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks

@article{Antonucci2008DecisiontheoreticSO,
  title={Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks},
  author={Alessandro Antonucci and Marco Zaffalon},
  journal={Int. J. Approx. Reasoning},
  year={2008},
  volume={49},
  pages={345-361}
}
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be powerful means to represent and deal with many important and challenging problems in uncertain reasoning. We give examples to show that some of these problems can only be modeled by credal nets called non-separately specified. These, however, are still missing a graphical representation language and updating algorithms. The… CONTINUE READING

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