Perhaps when using the model checking approach, it might make sense to work at the set theoretic level. Probability provides another example. Probabilists start by defining a particular model the probability space of interest and then investigating its properties. Model checking vs . Perhaps when using the model checking approach, it might make sense to work at the set theoretic level.
Probability provides another example.
Probabilists start by defining a particular model the probability space of interest and then investigating its properties. Model checking vs . This definition makes clear that computing whether an agent knows has nothing to do in general with computing whether is valid. As defined, there is no necessary connection between X i and K i . Model checking vs .