Schlauschleimer in Reichsautobahnen: Slime mould imitates motorway network in Germany

Schubert, Theresa; Adamatzky, Andrew

Abstract

Purpose: The 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/approach: The 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. Findings: It 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/value: Experimental 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. © Emerald Group Publishing Limited.

• Journal Article Type: Article
• Publication Date: Aug 1, 2012
• Deposit Date: Sep 18, 2012
• Publicly Available Date: Apr 12, 2016
• Journal: Kybernetes
• Print ISSN: 0368-492X
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 41
• Issue: 7
• Pages: 1050-1071
• DOI: https://doi.org/10.1108/03684921211257865
• Keywords: biological transport networks, biology, germany, road transport, slime mould, unconventional computing
• Public URL: https://uwe-repository.worktribe.com/output/944133
• Publisher URL: http://www.emeraldinsight.com/journals.htm?issn=0368-492x&volume=41&issue=7&articleid=17053784&show=abstract
• Contract Date: Apr 12, 2016