Abstraction Model Checking
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In
computer science Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines (includi ...
and in mathematics, abstraction model checking is for systems where an actual representation is too complex in developing the model alone. So, the design undergoes a kind of translation to scaled down "abstract" version. The set of variables are partitioned into visible and invisible depending on their change of values. The real
state space A state space is the set of all possible configurations of a system. It is a useful abstraction for reasoning about the behavior of a given system and is widely used in the fields of artificial intelligence and game theory. For instance, the to ...
is summarized into a smaller set of the visible ones.


Galois connected

The real and the abstract state spaces are Galois connected. This means that if we take an element from the abstract space, concretize it and abstract the concretized version, the result will be equal to the original. On the other hand, if you pick an element from the real space, abstract it and concretize the abstract version, the final result will be a super set of the original. That is, \eta(\theta(abstract)) = abstract
\theta(\eta(real)) \supseteq real


See also


References

* Model checking {{Improve categories, date=December 2021