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  1. Frontiers of Computer Science in China
  2. Frontiers of Computer Science in China : Volume 2
  3. Frontiers of Computer Science in China : Volume 2, Issue 1, March 2008
  4. Semantics of sub-probabilistic programs
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Frontiers of Computer Science in China : Volume 11
Frontiers of Computer Science in China : Volume 10
Frontiers of Computer Science in China : Volume 9
Frontiers of Computer Science in China : Volume 8
Frontiers of Computer Science in China : Volume 7
Frontiers of Computer Science in China : Volume 6
Frontiers of Computer Science in China : Volume 5
Frontiers of Computer Science in China : Volume 4
Frontiers of Computer Science in China : Volume 3
Frontiers of Computer Science in China : Volume 2
Frontiers of Computer Science in China : Volume 2, Issue 4, December 2008
Frontiers of Computer Science in China : Volume 2, Issue 3, September 2008
Frontiers of Computer Science in China : Volume 2, Issue 2, June 2008
Frontiers of Computer Science in China : Volume 2, Issue 1, March 2008
Basic research in computer science and software engineering at SKLCS
Calculi of meta-variables
Human factors in continuous time-concerned cooperative systems represented by NΣ-labeled calculus
Semantics of sub-probabilistic programs
Computational origami environment on the web
On the verification of polynomial system solvers
Fraction-free matrix factors: new forms for LU and QR factors
An extended EM algorithm for subspace clustering
Gibbs artifact reduction for POCS super-resolution image reconstruction
Arnetminer: expertise oriented search using social networks
ID-based deniable ring authentication with constant-size signature
Frontiers of Computer Science in China : Volume 1

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Semantics of sub-probabilistic programs

Content Provider Springer Nature Link
Author Chen, Yixiang Wu, Hengyang
Copyright Year 2008
Abstract The aim of this paper is to extend the probabilistic choice in probabilistic programs to sub-probabilistic choice, i.e., of the form (p)P $^{⋈}$(q)Q where p + q ⩽ 1. It means that program P is executed with probability p and program Q is executed with probability q. Then, starting from an initial state, the execution of a sub-probabilistic program results in a sub-probability distribution. This paper presents two equivalent semantics for a sub-probabilistic while-programming language. One of these interprets programs as sub-probabilistic distributions on state spaces via denotational semantics. The other interprets programs as bounded expectation transformers via wp-semantics. This paper proposes an axiomatic systems for total logic, and proves its soundness and completeness in a classical pattern on the structure of programs.
Starting Page 29
Ending Page 38
Page Count 10
File Format PDF
ISSN 16737350
Journal Frontiers of Computer Science in China
Volume Number 2
Issue Number 1
e-ISSN 16737466
Language English
Publisher SP Higher Education Press
Publisher Date 2008-03-28
Publisher Institution Chinese Universities
Publisher Place Heidelberg
Access Restriction Subscribed
Subject Keyword sub-probabilistic programs total correctness wp-calculus Computer Science
Content Type Text
Resource Type Article
Subject Theoretical Computer Science Computer Science
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