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author | Camil Staps | 2017-10-23 13:06:40 +0200 |
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committer | Camil Staps | 2017-10-23 13:06:40 +0200 |
commit | 3b3f2e4ccfed3a63e9f815f379e68789b1a8f15e (patch) | |
tree | ca43d6f2ddd37e13d28956c22f0ba16e1ec0fe62 /assignments | |
parent | Cleanup (diff) |
1.1.4
Diffstat (limited to 'assignments')
-rw-r--r-- | assignments/assignment2/assignment2.tex | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/assignments/assignment2/assignment2.tex b/assignments/assignment2/assignment2.tex index 9fb455b..26e964e 100644 --- a/assignments/assignment2/assignment2.tex +++ b/assignments/assignment2/assignment2.tex @@ -63,6 +63,14 @@ The learned model also contains states, therefore they must be equivalent. \item + A counter-example $\pi$ consists of a prefix, an input where an inconsistency appears and a suffix showing the inconsistency: + $\pi = \sigma u \rho$. + However, when we provide some sequence $\pi$ it may be possible to find distinct partitions + $\pi = \sigma_1 u_1 \rho_1 \neq \sigma_2 u_2 \rho_2 = \pi$ + which both help to improve the hypothesis. + If on the first run we add $\rho_1$ to the suffices of our table, + $\sigma_2 u_2 \rho_2$ may not be covered yet, + and we may be able to add $\pi$ a second time. \item |