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Symbolic Semantics for Probabilistic Programs

Voogd, E; Johnsen, EB; Silva, A; Susag, ZJ; Wąsowski, A; (2023) Symbolic Semantics for Probabilistic Programs. In: International Conference on Quantitative Evaluation of Systems QEST 2023: Quantitative Evaluation of Systems. (pp. pp. 329-345). Springer, Cham Green open access

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Abstract

We present a new symbolic execution semantics of probabilistic programs that include observe statements and sampling from continuous distributions. Building on Kozen’s seminal work, this symbolic semantics consists of a countable collection of measurable functions, along with a partition of the state space. We use the new semantics to provide a full correctness proof of symbolic execution for probabilistic programs. We also implement this semantics in the tool symProb, and illustrate its use on examples.

Type: Proceedings paper
Title: Symbolic Semantics for Probabilistic Programs
Event: Quantitative Evaluation of Systems 20th International Conference, QEST 2023
ISBN-13: 9783031438349
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-031-43835-6_23
Publisher version: https://doi.org/10.1007/978-3-031-43835-6_23
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10182020
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