This paper presents an active inference method for Extended Finite State Machines, where inputs and outputs are parametrized, and transitions can be conditioned by guards involving input parameters and internal variables called registers. The method applies to (software) systems that cannot be reset, so it learns an EFSM model of the system on a single trace.
@article{arxiv.2406.07040,
title = {Learning EFSM Models with Registers in Guards},
author = {Germán Vega and Roland Groz and Catherine Oriat and Michael Foster and Neil Walkinshaw and Adenilso Simão},
journal= {arXiv preprint arXiv:2406.07040},
year = {2024}
}