no code implementations • 27 May 2022 • Rebecca Bernemann, Barbara König, Matthias Schaffeld, Torben Weis
We consider probabilistic systems with hidden state and unobservable transitions, an extension of Hidden Markov Models (HMMs) that in particular admits unobservable {\epsilon}-transitions (also called null transitions), allowing state changes of which the observer is unaware.
no code implementations • 30 Sep 2020 • Rebecca Bernemann, Benjamin Cabrera, Reiko Heckel, Barbara König
In particular, Bayesian networks are used as symbolic representations of probability distributions, modelling the observer's knowledge about the tokens in the net.
