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Denotational Semantics for Probabilistic and Concurrent Programs

Zilberstein, N; Gorla, D; Silva, A; (2025) Denotational Semantics for Probabilistic and Concurrent Programs. In: 36th International Conference on Concurrency Theory (CONCUR 2025). Leibniz International Proceedings in Informatics (LIPIcs). (pp. 39:1-39:24). Leibniz-Zentrum für Informatik: Dagstuhl, Germany. Green open access

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Abstract

We develop a denotational model for probabilistic and concurrent imperative programs, a class of programs with standard control flow via conditionals and while-loops, as well as probabilistic actions and parallel composition. Whereas semantics for concurrent or randomized programs in isolation is well studied, their combination has not been thoroughly explored and presents unique challenges. The crux of the problem is that interactions between control flow, probabilistic actions, and concurrent execution cannot be captured by straightforward generalizations of prior work on pomsets and convex languages, prominent models for those effects, individually. Our model has good domain theoretic properties, important for semantics of unbounded loops. We also prove two adequacy theorems, showing that the model subsumes typical powerdomain semantics for concurrency and convex powerdomain semantics for probabilistic nondeterminism.

Type: Proceedings paper
Title: Denotational Semantics for Probabilistic and Concurrent Programs
Event: 36th International Conference on Concurrency Theory (CONCUR 2025)
Open access status: An open access version is available from UCL Discovery
DOI: 10.4230/LIPIcs.CONCUR.2025.39
Publisher version: https://drops.dagstuhl.de/entities/document/10.423...
Language: English
Additional information: © Noam Zilberstein, Daniele Gorla, and Alexandra Silva; licensed under Creative Commons License CC-BY 4.0
Keywords: Denotational Semantics, Pomsets, Concurrency, Convex Powerset
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10213011
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