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Decidability Questions for Insertion Systems and Related Models

Malcher Andreas

Fundamenta Informaticae

2021

Vol. 180, nr 1-2

53--76

Insertion systems or insertion grammars are a generative formalism in which words can only be generated by starting with some axioms and by iteratively inserting strings subject to certain contexts of a fixed maximal length. It is known that languages generated by such systems are always context sensitive and that the corresponding language classes are incomparable with the regular languages. On the other hand, it is possible to generate non-semilinear languages with systems having contexts of length two. Here, we study decidability questions for insertion systems. On the one hand, it can be seen that emptiness and universality are decidable. Moreover, the fixed membership problem is solvable in deterministic polynomial time. On the other hand, the usually studied decidability questions such as, for example, finiteness, inclusion, equivalence, regularity, inclusion in a regular language, and inclusion of a regular language turn out to be undecidable. Interestingly, the latter undecidability results can be carried over to other models which are basically able to handle the mechanism of inserting strings depending on contexts. In particular, new undecidability results are obtained for pure grammars, restarting automata, clearing restarting automata, and forgetting automata.

Deterministic Two-Way Restarting Automata and Marcus Contextual Grammars

Jurdziński T., Otto F., Mráz F., Plátek M.

Fundamenta Informaticae

2005

Vol. 64, nr 1-4

217-228

It is known that for (right-) monotone deterministic one-way restarting automata, the use of auxiliary symbols does not increase the expressive power. Here we show that the same is true for deterministic two-way restarting automata that are right-left-monotone. Moreover, we present a transformation of this kind of restarting automata into contextual grammars with regular selection.