This project will develop formal methods for verification of probabilistic systems using simulations. In particular, it will provide algorithms for statistical model checking of large and/or unknown Markov chains and Markov decision processes against various objectives with generally unbounded horizon, a theoretically challenging and practically relevant problem. The main focus lies on linear temporal logic, mean payoff and linear distances.
DFG Programme
Research Grants
