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Causal Nets for Geometrical Gandy–Păun–Rozenberg Machines

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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

An approach to the computational complexity beyond the known complexity measures of the consumed time and space of computation is proposed. The approach focuses on the chaotic behavior and randomness aspects of computational processes and is based on a representation of these processes by causal nets.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Polish Academy of Sciences, Śniadeckich 8, 00-656, Warsaw, Poland

    Adam Obtułowicz

Authors
  1. Adam Obtułowicz
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Correspondence to Adam Obtułowicz .

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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Obtułowicz, A. (2014). Causal Nets for Geometrical Gandy–Păun–Rozenberg Machines. 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_22

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  • DOI: https://doi.org/10.1007/978-3-319-14370-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14369-9

  • Online ISBN: 978-3-319-14370-5

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