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All cases (conditioned on input, output, both, or neither) can be reduced to the null machine (empty input & output) by appropriate compositions with generators/acceptors.
Then, that null machine can be solved by matrix inversion. In fact, the machine is acyclic & topologically sorted at this point, so the inversion can be done efficiently by calculating the sum-over-paths likelihood from each state to the end state.
The text was updated successfully, but these errors were encountered:
Random output, conditioned on input, is implemented as of 5d82cb4 using --random-encode.
It should now be possible to simulate both e.g. by randomly generating the input (with a suitable automata projection that hides the output & transposes), then randomly generating output conditional on the input. Not very efficient perhaps, but it would work
All cases (conditioned on input, output, both, or neither) can be reduced to the null machine (empty input & output) by appropriate compositions with generators/acceptors.
Then, that null machine can be solved by matrix inversion. In fact, the machine is acyclic & topologically sorted at this point, so the inversion can be done efficiently by calculating the sum-over-paths likelihood from each state to the end state.
The text was updated successfully, but these errors were encountered: