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Schlauschleimer in Reichsautobahnen
- Source :
- Kybernetes. 41:1050-1071
- Publication Year :
- 2012
- Publisher :
- Emerald, 2012.
-
Abstract
- PurposeThe purpose of this paper is to develop experimental laboratory biological techniques for approximation of principle transport networks, optimizing transport links, and developing optimal solutions to current transport problems. It also aims to study how slime mould of Physarum polycephalum approximate autobahn networks in Germany.Design/methodology/approachThe paper considers the 21 most populous urban areas in Germany. It represents these areas with source of nutrients placed in the positions of slime mould growing substrate corresponding to the areas. At the beginning of each experiment slime mould is inoculated in the Berlin area. Slime mould exhibits foraging behavior and spans sources of nutrients (which represent urban areas) with a network of protoplasmic tubes (which approximate vehicular transport networks). The study analyzes structure of transport networks developed by slime mould and compares it with families of known proximity graphs. It also imitates slime‐mould response to simulated disaster by placing sources of chemo‐repellents in the positions of nuclear power plants.FindingsIt is found that the plasmodium of Physarum polycephalum develops a minimal approximation of a transport network spanning urban areas. Physarum‐developed network matches autobahn network very well. The high degree of similarity is preserved even when we place high‐demand constraints on repeatability of links in the experiments. Physarum approximates almost all major transport links. In response to a sudden disaster, gradually spreading from its epicenter, the Physarum transport networks react by abandoning transport links affected by disaster zone, enhancement of those unaffected directly by the disaster, massive sprouting from the epicenter, and increase of scouting activity in the regions distant to the epicenter of the disaster.Originality/valueExperimental methods and computer analysis techniques presented in the paper lay a foundation of novel biological laboratory approaches to imitation and prognostication of socio‐economical developments.
- Subjects :
- biology
FOS: Physical sciences
Physarum polycephalum
Context (language use)
Pattern Formation and Solitons (nlin.PS)
biology.organism_classification
Nonlinear Sciences - Pattern Formation and Solitons
Civil engineering
Nonlinear Sciences - Adaptation and Self-Organizing Systems
Statistical structure
Theoretical Computer Science
Geography
Control and Systems Engineering
Computer Science (miscellaneous)
Slime mold
State planning
Adaptation and Self-Organizing Systems (nlin.AO)
Engineering (miscellaneous)
Social Sciences (miscellaneous)
Subjects
Details
- ISSN :
- 0368492X
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Kybernetes
- Accession number :
- edsair.doi.dedup.....335d93669bc9780c4a1908667c1b8b19