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Science
Article
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Science
Article . 2010 . Peer-reviewed
Data sources: Crossref
Science
Article . 2010
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Rules for Biologically Inspired Adaptive Network Design

Authors: Tero, Atsushi; Takagi, Seiji; Saigusa, Tetsu; Ito, Kentaro; Bebber, Dan P; Fricker, Mark D; Yumiki, Kenji; +2 Authors

Rules for Biologically Inspired Adaptive Network Design

Abstract

Miniature Transport EngineersIn its vegetative phase, the slime moldPhysarum polycephalum“slimes” its way through the world seeking food. As it explores, it links previously found food sources with tubular structures.Teroet al.(p.439) report that if food sources are deposited on a plate in a pattern corresponding in miniature to the positions of the cities that surround Tokyo, the resulting network ofPhysarumtubules that develops is rather similar in structure to the railroad network that connects the Japanese cities. A model was produced that describes the adaptive network development displayed by the slime mold. This biologically inspired model might provide insight into how to implement properties like resistance of transport systems to local failures into similar human-designed systems.

Countries
Japan, United Kingdom
Keywords

460, Food, Physarum polycephalum, Systems Biology, Computer Simulation, Tokyo, Models, Biological, Railroads, Algorithms, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
723
Top 0.1%
Top 0.1%
Top 0.1%
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bronze