Cantor meets Scott: semantic foundations for probabilistic networks

Special Interest Group on Programming Languages, pp. 557-571, 2017.

Cited by: 27|Bibtex|Views5|DOI:https://doi.org/10.1145/3093333.3009843
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Abstract:

ProbNetKAT is a probabilistic extension of NetKAT with a denotational semantics based on Markov kernels. The language is expressive enough to generate continuous distributions, which raises the question of how to compute effectively in the language. This paper gives an new characterization of ProbNetKAT’s semantics using domain theory, w...More

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