On the Complexity of Techniques That Make Transition Systems Implementable by Boolean Nets

Fuente: arXiv
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Autores principales: Devillers, Raymond, Tredup, Ronny
Formato: Preprint
Publicado: 2022
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author Devillers, Raymond
Tredup, Ronny
author_facet Devillers, Raymond
Tredup, Ronny
contents Synthesis consists in deciding whether a given labeled transition system (TS) $A$ can be implemented by a net $N$ of type $τ$. In case of a negative decision, it may be possible to convert $A$ into an implementable TS $B$ by applying various modification techniques, like relabeling edges that previously had the same label, suppressing edges/states/events, etc. It may however be useful to limit the number of such modifications to stay close to the original problem, or optimize the technique. In this paper, we show that most of the corresponding problems are NP-complete if $τ$ corresponds to the type of flip-flop nets or some flip-flop net derivatives.
format Preprint
id arxiv_https___arxiv_org_abs_2203_09233
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On the Complexity of Techniques That Make Transition Systems Implementable by Boolean Nets
Devillers, Raymond
Tredup, Ronny
Computational Complexity
Synthesis consists in deciding whether a given labeled transition system (TS) $A$ can be implemented by a net $N$ of type $τ$. In case of a negative decision, it may be possible to convert $A$ into an implementable TS $B$ by applying various modification techniques, like relabeling edges that previously had the same label, suppressing edges/states/events, etc. It may however be useful to limit the number of such modifications to stay close to the original problem, or optimize the technique. In this paper, we show that most of the corresponding problems are NP-complete if $τ$ corresponds to the type of flip-flop nets or some flip-flop net derivatives.
title On the Complexity of Techniques That Make Transition Systems Implementable by Boolean Nets
topic Computational Complexity
url https://arxiv.org/abs/2203.09233