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.V35I18.17883

Markdown

[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.V35I18.17883

BibTeX

@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/}
}