Detail výsledku
PAYNT: A Tool for Inductive Synthesis of Probabilistic Programs
Češka Milan, doc. RNDr., Ph.D., UITS (FIT)
Stupinský Šimon, Ing.
JUNGES, S.
KATOEN, J.
a další
This paper presents PAYNT, a tool to automatically synthesise probabilistic programs. PAYNT enables the synthesis of finite-state probabilistic programs from a program sketch representing a finite family of program candidates. A tight interaction between inductive oracle-guided methods with state-of-the-art probabilistic model checking is at the heart of PAYNT. These oracle-guided methods effectively reason about all possible candidates and synthesise programs that meet a given specification formulated as a conjunction of temporal logic constraints and possibly including an optimising objective. We demonstrate the performance and usefulness of PAYNT using several case studies from different application domains; e.g., we find the optimal randomized protocol for network stabilisation among 3M potential programs within minutes, whereas alternative approaches would need days to do so.
Probabilistic programs,
Inductive Synthesis,
Counterexamples,
Probabilistic Model Checking
@inproceedings{BUT172523,
author="ANDRIUSHCHENKO, R. and ČEŠKA, M. and STUPINSKÝ, Š. and JUNGES, S. and KATOEN, J.",
title="PAYNT: A Tool for Inductive Synthesis of Probabilistic Programs",
booktitle="International Conference on Computer Aided Verification (CAV)",
year="2021",
series="Lecture Notes in Computer Science",
volume="12759",
pages="856--869",
publisher="Springer Verlag",
address="Cham",
doi="10.1007/978-3-030-81685-8\{_}40",
isbn="978-3-030-81684-1"
}