[HTML][HTML] Survey on mining signal temporal logic specifications

E Bartocci, C Mateis, E Nesterini, D Nickovic - Information and Computation, 2022 - Elsevier
Formal specifications play an essential role in the life-cycle of modern systems, both at the
time of their design and during their operation. Despite their importance, formal …

Toward verified artificial intelligence

SA Seshia, D Sadigh, SS Sastry - Communications of the ACM, 2022 - dl.acm.org
Toward verified artificial intelligence Page 1 46 COMMUNICATIONS OF THE ACM | JULY
2022 | VOL. 65 | NO. 7 contributed articles ILL US TRA TION B Y PETER CRO W THER A …

Compositional falsification of cyber-physical systems with machine learning components

T Dreossi, A Donzé, SA Seshia - Journal of Automated Reasoning, 2019 - Springer
Abstract Cyber-physical systems (CPS), such as automotive systems, are starting to include
sophisticated machine learning (ML) components. Their correctness, therefore, depends on …

Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods

K Leung, N Aréchiga, M Pavone - The International Journal …, 2023 - journals.sagepub.com
This paper presents a technique, named STLCG, to compute the quantitative semantics of
Signal Temporal Logic (STL) formulas using computation graphs. STLCG provides a …

Offline and online learning of signal temporal logic formulae using decision trees

G Bombara, C Belta - ACM Transactions on Cyber-Physical Systems, 2021 - dl.acm.org
In this article, we focus on inferring high-level descriptions of a system from its execution
traces. Specifically, we consider a classification problem where system behaviors are …

Learning task specifications from demonstrations

M Vazquez-Chanlatte, S Jha, A Tiwari… - Advances in neural …, 2018 - proceedings.neurips.cc
Real-world applications often naturally decompose into several sub-tasks. In many settings
(eg, robotics) demonstrations provide a natural way to specify the sub-tasks. However, most …

Temporal-logic-based semantic fault diagnosis with time-series data from industrial internet of things

G Chen, M Liu, Z Kong - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The maturity of sensor network technologies has facilitated the emergence of an industrial
Internet of Things (IIoT), which has collected an increasing volume of data. Converting these …

Interpretable classification of time-series data using efficient enumerative techniques

S Mohammadinejad, JV Deshmukh… - Proceedings of the 23rd …, 2020 - dl.acm.org
Cyber-physical system applications such as autonomous vehicles, wearable devices, and
avionic systems generate a large volume of time-series data. Designers often look for tools …

Interpretable safety validation for autonomous vehicles

A Corso, MJ Kochenderfer - 2020 IEEE 23rd International …, 2020 - ieeexplore.ieee.org
An open problem for autonomous driving is how to validate the safety of an autonomous
vehicle in simulation. Automated testing procedures can find failures of an autonomous …

Mining road traffic rules with signal temporal logic and grammar-based genetic programming

F Pigozzi, E Medvet, L Nenzi - Applied Sciences, 2021 - mdpi.com
Traffic systems, where human and autonomous drivers interact, are a very relevant instance
of complex systems and produce behaviors that can be regarded as trajectories over time …