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Simulating R Systems by P Systems

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Membrane Computing (CMC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10105))

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Abstract

We show multiple ways of how to simulate R systems by non-cooperative P systems with atomic control by promoters and/or inhibitors, or with matter/antimatter annihilation rules, with a slowdown by a constant factor only. The descriptional complexity of the simulating P systems is also linear with respect to that of the simulated R system. All constants depend on how general the model of R systems is, as well as on the chosen control ingredients of the P systems. Special attention is paid to the differences in the mode of rule application in these models.

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Computer Science, Academy of Sciences of Moldova, Str. Academiei 5, 2028, Chişinău, Moldova

    Artiom Alhazov

  2. Romanian Academy, Institute of Computer Science, Blvd. Carol I no.8, 700505, Iaşi, Romania

    Bogdan Aman

  3. Faculty of Informatics, TU Wien, Favoritenstraße 9–11, 1040, Vienna, Austria

    Rudolf Freund

  4. Université Paris Est, Paris, France

    Sergiu Ivanov

Authors
  1. Artiom Alhazov
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  2. Bogdan Aman
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  3. Rudolf Freund
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  4. Sergiu Ivanov
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Corresponding author

Correspondence to Rudolf Freund .

Editor information

Editors and Affiliations

  1. University of Milano-Bicocca , Milan, Italy

    Alberto Leporati

  2. Leiden University , Leiden, The Netherlands

    Grzegorz Rozenberg

  3. Turku Center for Computer Science , Turku, Finland

    Arto Salomaa

  4. University of Milan-Bicocca , Milan, Italy

    Claudio Zandron

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Alhazov, A., Aman, B., Freund, R., Ivanov, S. (2017). Simulating R Systems by P Systems. In: Leporati, A., Rozenberg, G., Salomaa, A., Zandron, C. (eds) Membrane Computing. CMC 2016. Lecture Notes in Computer Science(), vol 10105. Springer, Cham. https://doi.org/10.1007/978-3-319-54072-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-54072-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54071-9

  • Online ISBN: 978-3-319-54072-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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