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Published in: Natural Computing 1/2010

01-03-2010

Programmable reconfiguration of Physarum machines

Authors: Andrew Adamatzky, Jeff Jones

Published in: Natural Computing | Issue 1/2010

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Abstract

Plasmodium of Physarum polycephalum is a large cell capable of solving graph-theoretic, optimization and computational geometry problems due to its unique foraging behavior. Also the plasmodium is a unique biological substrate that mimics universal storage modification machines, namely the Kolmogorov–Uspensky machine. In the plasmodium implementation of the storage modification machine data are represented by sources of nutrients and memory structure by protoplasmic tubes connecting the sources. In laboratory experiments and simulation we demonstrate how the plasmodium-based storage modification machine can be programmed. We show execution of the following operations with the active zone (where computation occurs): merge two active zones, multiply active zone, translate active zone from one data site to another, direct active zone. Results of the paper bear two-fold value: they provide a basis for programming unconventional devices based on biological substrates and also shed light on behavioral patterns of the plasmodium.

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Footnotes
1
Species of order Physarales, subclass Myxogastromycetidae, class Myxomecetes, division Myxostelida.
 
2
Experimentally we found that bacteria populating oat flakes are sensed by the plasmodium at a distance of up 2–3 cm.
 
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Metadata
Title
Programmable reconfiguration of Physarum machines
Authors
Andrew Adamatzky
Jeff Jones
Publication date
01-03-2010
Publisher
Springer Netherlands
Published in
Natural Computing / Issue 1/2010
Print ISSN: 1567-7818
Electronic ISSN: 1572-9796
DOI
https://doi.org/10.1007/s11047-009-9146-8

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