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Unfortunately, I am not that farmiliar with the internals of the algorithm, but from looking at the code, I believe the However, that might be because we typically use short counterexamples in our tests and this effect may materialize only with counterexamples that actually contain redundancy. Maybe you can try to experiment yourself with some (possibly randomly generated) systems and different counterexample algorithms. Maybe @misberner finds some time to answer himself. |
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I am currently reading the dissertation from Malte Isberner who has invented the TTT algorithm
There is a part of the algorithm that I dont understand during the subtree extraction in the discriminator finalization:
the algorithm (which is also implemented in learnlib):
and the part that I dont understand:
can you maybe give an automata where the respective part of the code is visited? I.e. line 12 or 27 in 5.3
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