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Roughness in Timed Transition Systems Modeling Propagation of Plasmodium

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Rough Sets and Knowledge Technology (RSKT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9436))

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Abstract

In the paper, we propose to use rough sets to describe some ambiguities in anticipation of states in propagation of plasmodium modeled by timed transition systems. A Physarum machine, that is a biological computing device implemented in the plasmodium of Physarum polycephalum, is considered as a modeled system. The plasmodial stage of Physarum polycephalum can be treated as a natural transition system. In the presented approach, both a standard definition of rough sets and the Variable Precision Rough Set Model (VPRSM) are used.

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Acknowledgment

This research is being fulfilled by the support of FP7-ICT-2011-8.

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Authors and Affiliations

  1. University of Information Technology and Management, Sucharskiego Str. 2, 35–225, Rzeszów, Poland

    Andrew Schumann & Krzysztof Pancerz

  2. Chair of Computer Science, Faculty of Mathematics and Natural Sciences, University of Rzeszów, Prof. S. Pigonia Str. 1, 35-310, Rzeszów, Poland

    Krzysztof Pancerz

Authors
  1. Andrew Schumann
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  2. Krzysztof Pancerz
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Corresponding author

Correspondence to Krzysztof Pancerz .

Editor information

Editors and Affiliations

  1. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  2. Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  3. Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  4. Zhejiang Ocean University, Zhejiang, China

    Wei-Zhi Wu

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Schumann, A., Pancerz, K. (2015). Roughness in Timed Transition Systems Modeling Propagation of Plasmodium. In: Ciucci, D., Wang, G., Mitra, S., Wu, WZ. (eds) Rough Sets and Knowledge Technology. RSKT 2015. Lecture Notes in Computer Science(), vol 9436. Springer, Cham. https://doi.org/10.1007/978-3-319-25754-9_42

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  • DOI: https://doi.org/10.1007/978-3-319-25754-9_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25753-2

  • Online ISBN: 978-3-319-25754-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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