10th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

Quantitative Assessment of Ambiguities in Plasmodium Propagation in Terms of Complex Networks and Rough Sets

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  • @INPROCEEDINGS{10.4108/eai.22-3-2017.152403,
        author={Krzysztof Pancerz},
        title={Quantitative Assessment of Ambiguities in Plasmodium Propagation in Terms of Complex Networks and Rough Sets},
        proceedings={10th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)},
        publisher={EAI},
        proceedings_a={BICT},
        year={2017},
        month={3},
        keywords={physarum machines plasmodium propagation complex networks rough sets},
        doi={10.4108/eai.22-3-2017.152403}
    }
    
  • Krzysztof Pancerz
    Year: 2017
    Quantitative Assessment of Ambiguities in Plasmodium Propagation in Terms of Complex Networks and Rough Sets
    BICT
    EAI
    DOI: 10.4108/eai.22-3-2017.152403
Krzysztof Pancerz1,*
  • 1: University of Rzeszow
*Contact email: kpancerz@wszia.edu.pl

Abstract

A Physarum machine is a biological computing device implemented in the plasmodium of Physarum polycephalum, a one-cell organism able to build large and manifold networks of protoplasmic veins for solving different computational tasks. In the paper, we propose to use complex networks as an underlying model of plasmodium propagation in Physarum machines. For such models, we define a measure, derived from rough set theory, for quantitative assessment of the cohesion of plasmodium connections between distinguished regions of interest. Rough sets are an appropriate tool to deal with some ambiguities which appear in plasmodium propagation.