2021
DOI: 10.1007/s41965-021-00070-6
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Theory of reaction automata: a survey

Abstract: In this paper, we survey on reaction automata theory to model and analyze the biochemical behaviors of vital reactions occurring in nature. Inspired by two notions of a reaction system initiated by Ehrenfeucht and Rozenberg in 2007 and of a multiset, reaction automata (RAs) have been proposed as computing models for accepting string languages. Given an input sequence of symbols, an RA performs its computation process as follows: at every time of receiving an input symbol, it changes the current configuration (… Show more

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Cited by 4 publications
(9 citation statements)
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“…We also introduce a new kind of reaction automata, called pure reaction automata. They differ from those introduced by Yokomori and Okubo (2021) in how the outcome of a reaction is defined. While classical reaction automata have permanence (i.e., the entities that are not used are preserved), in pure reaction automata the entities that are not used by any reaction are lost.…”
Section: Introductionmentioning
confidence: 88%
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“…We also introduce a new kind of reaction automata, called pure reaction automata. They differ from those introduced by Yokomori and Okubo (2021) in how the outcome of a reaction is defined. While classical reaction automata have permanence (i.e., the entities that are not used are preserved), in pure reaction automata the entities that are not used by any reaction are lost.…”
Section: Introductionmentioning
confidence: 88%
“…The introduction of a new manner and a new model of reaction automata raises the question of its computation power compared to the already existing models. We prove that the set of languages accepted by pure reaction automata working in a maximal reactive manner contains the set of languages accepted by standard reaction automata working in the same manner as well as the set of languages accepted by reaction automata working in a maximal parallel manner (a manner already investigated by Yokomori and Okubo (2021)).…”
Section: Introductionmentioning
confidence: 91%
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