Linking theories of probabilistic programming

  • He Jifeng*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Formal methods advocate the critical role played by the algebraic approach in specification and implementation of programs. Traditionally, a top-down approach (with denotational model as its origin) links the algebra of programs with the denotational representation by establishment of the soundness and completeness of the algebra against the given model, while a bottom-up approach (a journey started from operational model) introduces a variety of bisimulations to establish the equivalence relation among programs. This paper follows up a new way presented in [1] to handle probabilistic programming. Our approach takes an algebra of probabilistic programs as its foundation, and then generates both denotational model and transition system, and explores the consistency among three types of representations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages186-210
Number of pages25
DOIs
StatePublished - 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11180 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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