Expired
Milestone
Jan 4, 2022–Jan 14, 2022
Learning traps
The goal of this milestone is two-fold. On the one hand, we need to lay the ground work for invariant learning. This includes, among other things, at least
- check whether a given trap abstraction does already imply some property, and, if not,
- compute a counter-example trap for a given property; an incorporation of, e.g.,
clingo
would be ideal. However, an adhoc solution should be acceptable for this first step. - Check for some language whether it satisfies the initially marked and trap property for a given regular transition system. Otherwise, we should get an example which invalidates that all languages are initially marked traps.
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