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A Bioinspired Computing Approach to Model Complex Systems

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Membrane Computing (CMC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8961))

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Abstract

The use of models is intrinsic to any scientific activity. In particular, formal/mathematical models provide a relevant tool for scientific investigation. This paper presents a new Membrane Computing based computational paradigm as a framework for modelling processes and real-life phenomena. P systems, devices in Membrane Computing, are not used as a computing paradigm, but rather as a formalism for describing the behaviour of the system to be modelled. They offer an approach to the development of models for biological systems that meets the requirements of a good modelling framework: relevance, understandability, extensibility and computability.

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Author information

Authors and Affiliations

  1. Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, University of Sevilla, Seville, Spain

    Mario J. Pérez-Jiménez

Authors
  1. Mario J. Pérez-Jiménez
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Correspondence to Mario J. Pérez-Jiménez .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Sheffield, Sheffield, United Kingdom

    Marian Gheorghe

  2. Leiden Inst. Advanced Computer Science, Leiden University, Leiden, The Netherlands

    Grzegorz Rozenberg

  3. Turku Center for Computer Science, Turku, Finland

    Arto Salomaa

  4. Dept. Mathematics & Computer Science, Silesian University, Opava, Czech Republic

    Petr Sosík

  5. D.I.S.Co, University of Milan-Bicocca, Milan, Italy

    Claudio Zandron

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Pérez-Jiménez, M.J. (2014). A Bioinspired Computing Approach to Model Complex Systems. In: Gheorghe, M., Rozenberg, G., Salomaa, A., Sosík, P., Zandron, C. (eds) Membrane Computing. CMC 2014. Lecture Notes in Computer Science(), vol 8961. Springer, Cham. https://doi.org/10.1007/978-3-319-14370-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-14370-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14369-9

  • Online ISBN: 978-3-319-14370-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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