@ -29,7 +29,7 @@ We can do model checking analogous to probabilities::
>>> initial_state = model.initial_states[0]
>>> result = stormpy.model_checking(model, properties[0])
>>> print("Result: {}".format(result.at(initial_state)))
Result: 3.6666666666666665
Result: 3.666666666666667
The reward model has a name which we can obtain as follows::