A Specification Logic for Programs in the Probabilistic Guarded Command Language

Raúl Pardo, Einar Broch Johnsen, Ina Schaefer, Andrzej Wasowski

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Abstract

The semantics of probabilistic languages has been extensively studied, but specification languages for their properties have received little attention. This paper introduces the probabilistic dynamic logic pDL, a specification logic for programs in the probabilistic guarded command language (pGCL) of McIver and Morgan. The proposed logic pDL can express both first-order state properties and probabilistic reachability properties, addressing both the non-deterministic and probabilistic choice operators of pGCL. In order to precisely explain the meaning of specifications, we formally define the satisfaction relation for pDL. Since pDL embeds pGCL programs in its box-modality operator, pDL satisfiability builds on a formal MDP semantics for pGCL programs. The satisfaction relation is modeled after PCTL, but extended from propositional to first-order setting of dynamic logic, and also embedding program fragments. We study basic properties of pDL, such as weakening and distribution, that can support reasoning systems. Finally, we demonstrate the use of pDL to reason about program behavior.
OriginalsprogEngelsk
TitelA Specification Logic for Programs in the Probabilistic Guarded Command Language
Antal sider19
Vol/bind13572
ForlagSpringer, Cham
Publikationsdatookt. 2022
ISBN (Trykt)978-3-031-17714-9
ISBN (Elektronisk)978-3-031-17715-6
DOI
StatusUdgivet - okt. 2022
Begivenhed19th International Colloquium on Theoretical Aspects of Computing - ICTAC 2022 - Tbilisi, Georgien
Varighed: 27 sep. 202230 sep. 2022

Konference

Konference19th International Colloquium on Theoretical Aspects of Computing - ICTAC 2022
Land/OmrådeGeorgien
ByTbilisi
Periode27/09/202230/09/2022
NavnProceedings of 19th International Colloquium on Theoretical Aspects of Computing - ICTAC 2022

Emneord

  • Probabilistic Dynamic Logic
  • Probabilistic Guarded Command Language
  • First-Order State Properties
  • Probabilistic Reachability
  • Markov Decision Processes

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