We present new model-checking algorithms for probabilistic timed automata both for probabilistic and strict divergence. The algorithms have the same ...

To avoid such cases, we consider strict time divergence which concerns the divergence of time over all paths, rather than time divergence of paths with ...

We present new model-checking algorithms for probabilistic timed automata both for probabilistic and strict divergence. The algorithms have the same complexity ...

Abstract. Probabilistic timed automata are an extension of timed au- tomata with discrete probability distributions. In previous work, a prob-.

properties: • Pessimistic: corresponds to a strategy with the minimum probability of satisfying the property. • E.g., is the probability of reaching a goal ...

We present new model-checking algorithms for probabilistic timed automata both for probabilistic and strict divergence. The algorithms have the same ...

Strict time divergence is considered which concerns the divergence of time over all paths, rather than time divergence of paths with probability 1, ...

An adversary is strictly divergent if all of its paths entail time passing beyond any bound. In many contexts, strictly divergent adversaries are more realistic ...

We present new model-checking algorithms for probabilistic timed automata both for probabilistic and strict divergence. The algorithms have the same ...

We present new model-checking algorithms for probabilistic timed automata both for probabilistic and strict divergence. The algorithms have the same ...