Emergent Mind

Model Checking Recursive Probabilistic Programs with Conditioning

(2404.03515)
Published Apr 4, 2024 in cs.LO and cs.PL

Abstract

We address the problem of model checking temporal logic specifications for probabilistic programs with recursive procedures, nested queries, and conditioning expressed with observe statements. We introduce probabilistic Operator Precedence Automata (pOPA), a new class of probabilistic pushdown automata suitable to model constructs and behaviors of probabilistic programs. We develop a model checking algorithm that can verify requirements expressed in a fragment of Precedence Oriented Temporal Logic (POTL$f_\mathcal{X}$) on a pOPA in single EXPTIME. POTL$f_\mathcal{X}$ is a temporal logic based on Operator Precedence Languages, which features modalities that interact with the context-free structure of program traces, matching procedure calls with returns or observe statements. We provide the first probabilistic model checking implementation of context-free language properties for probabilistic pushdown systems.

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