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Logical Methods in Computer Science
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Language Inclusion for Boundedly-Ambiguous Vector Addition Systems is Decidable

Language inclusion for boundedly-ambiguous vector addition systems is decidable
Authors: Czerwiński, Wojciech; Hofman, Piotr;

Language Inclusion for Boundedly-Ambiguous Vector Addition Systems is Decidable

Abstract

We consider the problems of language inclusion and language equivalence for Vector Addition Systems with States (VASS) with the acceptance condition defined by the set of accepting states (and more generally by some upward-closed conditions). In general, the problem of language equivalence is undecidable even for one-dimensional VASS, thus to get decidability we investigate restricted subclasses. On the one hand, we show that the problem of language inclusion of a VASS in k-ambiguous VASS (for any natural k) is decidable and even in Ackermann. On the other hand, we prove that the language equivalence problem is already Ackermann-hard for deterministic VASS. These two results imply Ackermann-completeness for language inclusion and equivalence in several possible restrictions. Some of our techniques can be also applied in much broader generality in infinite-state systems, namely for some subclass of well-structured transition systems.

Keywords

FOS: Computer and information sciences, unambiguity, Computer Science - Logic in Computer Science, Formal Languages and Automata Theory (cs.FL), vector addition systems, determinism, Petri nets, Computer Science - Formal Languages and Automata Theory, Formal languages and automata, 004, Logic in Computer Science (cs.LO), bounded ambiguity, Theory of computation → Parallel computing models, Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.), language inclusion, language equivalence, well-structured transition systems, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Published in a Diamond OA journal