TY - CHAP
T1 - Linking theories of probabilistic programming
AU - Jifeng, He
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85054179830
U2 - 10.1007/978-3-030-01461-2_10
DO - 10.1007/978-3-030-01461-2_10
M3 - 章节
AN - SCOPUS:85054179830
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 186
EP - 210
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -