Reachability and Related Problems in Vector Addition Systems with Nested Zero Tests

Vector addition systems with states (VASS), also known as Petri nets, are a popular model of concurrent systems. Many problems from many areas reduce to the reachability problem for VASS, which consists of deciding whether a target configuration of a VASS is reachable from a given initial configuration. In this paper, we obtain an Ackermannian (primitive-recursive in fixed dimension) upper bound for the reachability problem in VASS with nested zero tests. Furthermore, we provide a uniform approach which also allows to decide most related problems, for example semilinearity and separability, in the same complexity. For some of these problems like semilinearity the complexity was unknown even for plain VASS.

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Published
2025-06-23
DOI
https://doi.org/10.1109/lics65433.2025.00050
Primary Topic
Machine Learning and Algorithms
Type
article
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article

Reachability and Related Problems in Vector Addition Systems with Nested Zero Tests

Roland Guttenberg, Sławomir Lasota, Wojciech Czerwiński
Machine Learning and Algorithms
article

Reachability and Related Problems in Vector Addition Systems with Nested Zero Tests

Roland Guttenberg, Sławomir Lasota, Wojciech Czerwiński
article en

Abstract

Vector addition systems with states (VASS), also known as Petri nets, are a popular model of concurrent systems. Many problems from many areas reduce to the reachability problem for VASS, which consists of deciding whether a target configuration of a VASS is reachable from a given initial configuration. In this paper, we obtain an Ackermannian (primitive-recursive in fixed dimension) upper bound for the reachability problem in VASS with nested zero tests. Furthermore, we provide a uniform approach which also allows to decide most related problems, for example semilinearity and separability, in the same complexity. For some of these problems like semilinearity the complexity was unknown even for plain VASS.

University of Warsaw (PL), Technical University of Munich (DE)
Openalex Percentile: Top 85%
Machine Learning and Algorithms
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