Passive Learning of Timed Automata from Logs (Student Abstract)
Abstract
We propose a novel algorithm to passively learn deterministic Timed Automata from events sequences associated with the delay occurring between them. This algorithm produces models that are more specific than State-of-the-Art algorithms and that has a better identification of the temporal constraints applying on the systems.
Cite
Text
Cornanguer. "Passive Learning of Timed Automata from Logs (Student Abstract)." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.17883Markdown
[Cornanguer. "Passive Learning of Timed Automata from Logs (Student Abstract)." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/cornanguer2021aaai-passive/) doi:10.1609/AAAI.V35I18.17883BibTeX
@inproceedings{cornanguer2021aaai-passive,
title = {{Passive Learning of Timed Automata from Logs (Student Abstract)}},
author = {Cornanguer, Lénaïg},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2021},
pages = {15773-15774},
doi = {10.1609/AAAI.V35I18.17883},
url = {https://mlanthology.org/aaai/2021/cornanguer2021aaai-passive/}
}