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9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

A Rough Set Version of the Go Game on Physarum Machines

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.3-12-2015.2262488,
        author={Andrew Schumann and Krzysztof Pancerz},
        title={A Rough Set Version of the Go Game on Physarum Machines},
        proceedings={9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)},
        publisher={ACM},
        proceedings_a={BICT},
        year={2016},
        month={5},
        keywords={rough sets antagonistic game physarum machines},
        doi={10.4108/eai.3-12-2015.2262488}
    }
    
  • Andrew Schumann
    Krzysztof Pancerz
    Year: 2016
    A Rough Set Version of the Go Game on Physarum Machines
    BICT
    EAI
    DOI: 10.4108/eai.3-12-2015.2262488
Andrew Schumann1, Krzysztof Pancerz1,*
  • 1: University of Information Technology and Management in Rzeszow, Poland
*Contact email: kkpancerz@gmail.com

Abstract

We make use of a Physarum machine that is a biological computing device implemented in the plasmodium of Physarum polycephalum and/or Badhamia utricularis which are one-cell organisms able to build complex networks for solving different computational tasks. The plasmodium behavior can model an ancient Chinese game called Go. In the paper, we describe implementation of the Go game on the Physarum machines. A special version of the game is presented, where payoffs are assessed by means of the measure defined on the basis of rough set theory. Theoretical foundations given in the paper are supplemented with description of a specialized software tool developed, among others, for simulation of the described game.

Keywords
rough sets antagonistic game physarum machines
Published
2016-05-24
Publisher
ACM
http://dx.doi.org/10.4108/eai.3-12-2015.2262488
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