Subjective networks: Perspectives and challenges
Subjective logic is a formalism for reasoning under uncertain probabilistic information, with
an explicit treatment of the uncertainty about the probability distributions. We introduce
subjective networks as graph-based structures that generalize Bayesian networks to the
theory of subjective logic. We discuss the perspectives of the subjective networks
representation and the challenges of reasoning with them.
an explicit treatment of the uncertainty about the probability distributions. We introduce
subjective networks as graph-based structures that generalize Bayesian networks to the
theory of subjective logic. We discuss the perspectives of the subjective networks
representation and the challenges of reasoning with them.
Subjective Networks: Perspectives and Challenges
F Sambo - Graph Structures for Knowledge Representation and …, 2016 - books.google.com
Subjective logic is a formalism for reasoning under uncertain probabilistic information, with
an explicit treatment of the uncertainty about the probability distributions. We introduce
subjective networks as graph-based structures that generalize Bayesian networks to the
theory of subjective logic. We discuss the perspectives of the subjective networks
representation and the challenges of reasoning with them.
an explicit treatment of the uncertainty about the probability distributions. We introduce
subjective networks as graph-based structures that generalize Bayesian networks to the
theory of subjective logic. We discuss the perspectives of the subjective networks
representation and the challenges of reasoning with them.
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