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Physarum machines: encapsulating reaction-diffusion to compute spanning tree.

Andrew Adamatzky1

  • 1Faculty of Computing, Engineering and Mathematical Sciences, University of the West of England, Bristol, UK. andrew.adamatzky@uwe.ac.uk

Die Naturwissenschaften
|July 3, 2007
PubMed
Summary

This study introduces a novel approach to reaction-diffusion computation by integrating slime mold (Physarum polycephalum) as a biological computing substrate. This method enables reaction-diffusion computers to construct proximity graphs, overcoming previous limitations.

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Area of Science:

  • Biocomputing
  • Unconventional Computing
  • Chemical Computing

Background:

  • Reaction-diffusion computers are universal but struggle with proximity graph construction.
  • Physarum polycephalum offers a unique biological substrate for computation.

Purpose of the Study:

  • To enhance reaction-diffusion computation capabilities.
  • To enable computation of proximity graphs using biological systems.

Main Methods:

  • Enclosing reaction-diffusion systems in membranes with 'growth points'.
  • Utilizing Physarum polycephalum slime mold for experimental approximation of spanning trees.

Main Results:

  • Demonstrated the ability of enclosed reaction-diffusion systems to construct proximity graphs.

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  • Successfully approximated spanning trees using Physarum polycephalum.

    • Conclusions:

    • The integration of slime mold computation advances reaction-diffusion theory.
    • This hybrid approach overcomes limitations in chemical computing for graph construction.