跳到主要导航 跳到搜索 跳到主要内容

Linking theories of probabilistic programming

科研成果: 书/报告/会议事项章节章节同行评审

摘要

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.

源语言英语
主期刊名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版商Springer Verlag
186-210
页数25
DOI
出版状态已出版 - 2018

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11180 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

指纹

探究 'Linking theories of probabilistic programming' 的科研主题。它们共同构成独一无二的指纹。

引用此