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Reaction automata

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Apr 2012Embargo end date: 01 Jan 2011 English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 429, pages 247-257 (issn: 0304-3975, Copyright policy )
Authors: Fumiya Okubo; Satoshi Kobayashi; Takashi Yokomori;

doi: 10.1016/j.tcs.2011.12.045 , 10.48550/arxiv.1111.5038

arXiv: 1111.5038

Reaction automata

Abstract

Reaction systems are a formal model that has been introduced to investigate the interactive behaviors of biochemical reactions. Based on the formal framework of reaction systems, we propose new computing models called reaction automata that feature (string) language acceptors with multiset manipulation as a computing mechanism, and show that reaction automata are computationally Turing universal. Further, some subclasses of reaction automata with space complexity are investigated and their language classes are compared to the ones in the Chomsky hierarchy.

19 pages, 6 figures

Related Organizations
Keywords

FOS: Computer and information sciences, Formal Languages and Automata Theory (cs.FL), Reaction automata, models of biochemical reactions, reaction automata, Computer Science - Formal Languages and Automata Theory, Formal languages and automata, Models of computation (Turing machines, etc.), Turing computability, Models of biochemical reactions, 68Q45 (Primary) 68Q05 (Secondary)

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    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).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
23
Top 10%
Top 10%
Top 10%
Green
bronze