sis 16(10): e5

Research Article

A Rough Set Version of the Go Game on Physarum Machines

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  • @ARTICLE{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},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        keywords={rough sets, antagonistic game, physarum machines},
  • Andrew Schumann
    Krzysztof Pancerz
    Year: 2016
    A Rough Set Version of the Go Game on Physarum Machines
    DOI: 10.4108/eai.3-12-2015.2262488
Andrew Schumann1, Krzysztof Pancerz1,*
  • 1: University of Information Technology and Management in Rzeszow, Poland
*Contact email:


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.